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Price Action Trading- The Greatest System.

When I first started trading, I used to add all indicators on my chart. MACD, RSI, super trend, ATR, ichimoku cloud, Bollinger Bands, everything!
My chart was pretty messy. I understood nothing and my analysis was pretty much just a gamble.
Nothing worked.
DISCLOSURE- I've written this article on another sub reddit, if you've already read it, you make skip this one and come back tomorrow.
Then I learned price action trading. And things started to change. It seemed difficult and unreliable at first.
There's a saying in my country. "Bhav Bhagwan Che" it means "Price Is GOD".
That holds true in the market.
Amos Every indicator you see is based on price. RSI uses open/close price and so does moving average. MACD uses price.
Price is what matters the most.
Everything depends on the price, and then the indicators send a signal.
Price Action trading is trading based on Candlestick patterns and support and resistance. You don't use any indicators (SMA sometimes), use plot trend lines and support and resistance zones, maybe Fibs or Pivot points.
It is not 100% successful, but the win rate is quite high if you know how to analyse it correctly.
How To Learn Price Action Trading?
YouTube channels- 1. Trading with Rayner Teo. 2. Adam Khoo. 3. The Chart Guys. 4. The Trading Channel (and some other channels including regional ones).
Books- 1. Technical Analysis Explained. 2. The trader's book of volume. 3. Trading price action trends. 4. Trading price action reversals. 5. Trading price actions ranges. 6. Naked forex. 7. Technical analysis of the financial markets.
I think this is enough information to help you get started.
Price Action trading includes a few parts.
  1. Candlestick patterns You'll have to be able to spot a bullish engulfing or a bearish engulfing pattern. Or a doji or a morning star.
  2. Chart Patterns. The flag, wedge, channels or triangles. These are often quite helpful in chart analysis without using indicators.
  3. Support or Resistance. I've seen people draw 15 lines of support and resistance, this just makes your chart messy and you don't know where the price will take a support.
You can also you the demand and supply zone concept if you're more comfortable with that.
  1. Volume. There's a quote "Boule precedes price". Volume analysis is a bit hard, but it's totally worth learning. Divergence is also a great concept.
  2. Multiple time frames. To confirm a trend or find the long term support or resistance, you can use a higher time frame. Plus, it is more reliable and divergence is way stronger on it.
You can conclude everything to make a powerful system. Like if there's a divergence (price up volume down) and there's a major resistance on some upper level and a double top is formed,
That's a very reliable strategy to go short. Combinations of various systems work very good imo.
Does this mean that indicators are useless?
No, I use moving averages and RSI quite frequently. Using price action and confirming it through indicators gives me a higher win rate.
"Bhav Bhagwan Che".
-Vikrant C.
submitted by Vikrantc2003 to Daytrading [link] [comments]

My Trading Systems- How I trade.

How to analyse which stock to buy? You could use something simple like Moving Average Crossover or your system could be something very complex.
I generally use 5-7 setups when I trade.
The reason is, a lot of times I get false signals on one setup, but when I compare it with the Macro, when 3/5 systems give buy signal, I buy.
When 3/5 systems give me a sell signal, I sell. DISCLAIMER- I only trade in stocks, so some setups may not be available in Forex.
  1. Price Action Trading.
I believe that price action alone is the single greatest system. The more indicators you use, the more messy your chart gets. For me, less is more.
I usually start buy drawing Support and Resistance zones /areas, the immediate zones and long term zones.
Then I plot Fibonacci Points. I love Fibs. This alone is enough to trade.
  1. Heikin Ashi + Stochastic RSI.
The Heikin Ashi candlestick reduces noise and gives good signals. The rules are simple, if there are two continuous green closed candles, it's a buy signal and vice versa.
I usually add Stochastic RSI to improve the success rate, but the number of signals reduce.
  1. Volume.
Volume precedes price. Volume can tell a lot of things about the strength of a trend. I also use a VMA, volume moving average.
I find out if the trend is backed by a volume or not. I look for divergences too.
  1. Divergence.
There are two types of divergences, simple and hidden. I use RSI and/or MACD to find divergence. It's very reliable.
The drawback is that divergence works better in higher time frame.
I usually use 1D chart to plot divergence. Another thing, A divergence doesn't mean that the trend will change immediately.
  1. Delivery % Analysis.
This isn't available for Forex. There's a whole type of analysis on this. It has nothing to do with charts. It's based on numbers.
I like to add numbers along with charts to improve my success rate.
There are a common scenarios and 4 hidden scenarios in this analysis.
  1. Index Correlation.
If the index goes up 2% and the stock is correlated, and it goes up 4%, I can conclude using backtested data that the stock is dependent on the index.
If the index falls a bit, the stock will also fall, much more than the index.
Then there are stocks that have no correlation with the index, or inversely correlated.
  1. Option Chain.
This is probably not available for Forex, I am still learning it. This is a VERY reliable system.
Mastering this will help with get 80-90% accuracy. It's pretty tough.
A single view can give you an entire picture of support and resistance zones and what's happening. Are new positions being created or hedged?
Other Setups.
  1. Moving Averages- 20 & 200 day EMA or the EMA channel.
  2. Sector Performance.
  3. Bollinger Bands using channel.
I can talk deeply about all the systems with examples. But I've just tried to mention everything in brief.
-Vikrant C.
submitted by Vikrantc2003 to Daytrading [link] [comments]

How I trade.

How to analyse which stock to buy? You could use something simple like Moving Average Crossover or your system could be something very complex.
I generally use 5-7 setups when I trade.
The reason is, a lot of times I get false signals on one setup, but when I compare it with the Macro, when 3/5 systems give buy signal, I buy.
When 3/5 systems give me a sell signal, I sell. DISCLAIMER- I only trade in stocks, so some setups may not be available in Forex.
  1. Price Action Trading.
I believe that price action alone is the single greatest system. The more indicators you use, the more messy your chart gets. For me, less is more.
I usually start buy drawing Support and Resistance zones /areas, the immediate zones and long term zones.
Then I plot Fibonacci Points. I love Fibs. This alone is enough to trade.
  1. Heikin Ashi + Stochastic RSI.
The Heikin Ashi candlestick reduces noise and gives good signals. The rules are simple, if there are two continuous green closed candles, it's a buy signal and vice versa.
I usually add Stochastic RSI to improve the success rate, but the number of signals reduce.
  1. Volume.
Volume precedes price. Volume can tell a lot of things about the strength of a trend. I also use a VMA, volume moving average.
I find out if the trend is backed by a volume or not. I look for divergences too.
  1. Divergence.
There are two types of divergences, simple and hidden. I use RSI and/or MACD to find divergence. It's very reliable.
The drawback is that divergence works better in higher time frame.
I usually use 1D chart to plot divergence. Another thing, A divergence doesn't mean that the trend will change immediately.
  1. Delivery % Analysis.
This isn't available for Forex. There's a whole type of analysis on this. It has nothing to do with charts. It's based on numbers.
I like to add numbers along with charts to improve my success rate.
There are a common scenarios and 4 hidden scenarios in this analysis.
  1. Index Correlation.
If the index goes up 2% and the stock is correlated, and it goes up 4%, I can conclude using backtested data that the stock is dependent on the index.
If the index falls a bit, the stock will also fall, much more than the index.
Then there are stocks that have no correlation with the index, or inversely correlated.
  1. Option Chain.
This is probably not available for Forex, I am still learning it. This is a VERY reliable system.
Mastering this will help with get 80-90% accuracy. It's pretty tough.
A single view can give you an entire picture of support and resistance zones and what's happening. Are new positions being created or hedged?
Other Setups.
  1. Moving Averages- 20 & 200 day EMA or the EMA channel.
  2. Sector Performance.
  3. Bollinger Bands using channel.
I can talk deeply about all the systems with examples. But I've just tried to mention everything in brief.
submitted by Vikrantc2003 to StockMarket [link] [comments]

My Trading Systems - How I trade.

How to analyse which stock to buy? You could use something simple like Moving Average Crossover or your system could be something very complex.
I generally use 5-7 setups when I trade.
The reason is, a lot of times I get false signals on one setup, but when I compare it with the Macro, when 3/5 systems give buy signal, I buy.
When 3/5 systems give me a sell signal, I sell. DISCLAIMER- I only trade in stocks, so some setups may not be available in Forex.
  1. Price Action Trading.
I believe that price action alone is the single greatest system. The more indicators you use, the more messy your chart gets. For me, less is more.
I usually start buy drawing Support and Resistance zones /areas, the immediate zones and long term zones.
Then I plot Fibonacci Points. I love Fibs. This alone is enough to trade.
  1. Heikin Ashi + Stochastic RSI.
The Heikin Ashi candlestick reduces noise and gives good signals. The rules are simple, if there are two continuous green closed candles, it's a buy signal and vice versa.
I usually add Stochastic RSI to improve the success rate, but the number of signals reduce.
  1. Volume.
Volume precedes price. Volume can tell a lot of things about the strength of a trend. I also use a VMA, volume moving average.
I find out if the trend is backed by a volume or not. I look for divergences too.
  1. Divergence.
There are two types of divergences, simple and hidden. I use RSI and/or MACD to find divergence. It's very reliable.
The drawback is that divergence works better in higher time frame.
I usually use 1D chart to plot divergence. Another thing, A divergence doesn't mean that the trend will change immediately.
  1. Delivery % Analysis.
This isn't available for Forex. There's a whole type of analysis on this. It has nothing to do with charts. It's based on numbers.
I like to add numbers along with charts to improve my success rate.
There are a common scenarios and 4 hidden scenarios in this analysis.
  1. Index Correlation.
If the index goes up 2% and the stock is correlated, and it goes up 4%, I can conclude using backtested data that the stock is dependent on the index.
If the index falls a bit, the stock will also fall, much more than the index.
Then there are stocks that have no correlation with the index, or inversely correlated.
  1. Option Chain.
This is probably not available for Forex, I am still learning it. This is a VERY reliable system.
Mastering this will help with get 80-90% accuracy. It's pretty tough.
A single view can give you an entire picture of support and resistance zones and what's happening. Are new positions being created or hedged?
Other Setups.
  1. Moving Averages- 20 & 200 day EMA or the EMA channel.
  2. Sector Performance.
  3. Bollinger Bands using channel.
I can talk deeply about all the systems with examples. But I've just tried to mention everything in brief.
submitted by Vikrantc2003 to IndianStockMarket [link] [comments]

The Next Crypto Wave: The Rise of Stablecoins and its Entry to the U.S. Dollar Market

The Next Crypto Wave: The Rise of Stablecoins and its Entry to the U.S. Dollar Market

Author: Christian Hsieh, CEO of Tokenomy
This paper examines some explanations for the continual global market demand for the U.S. dollar, the rise of stablecoins, and the utility and opportunities that crypto dollars can offer to both the cryptocurrency and traditional markets.
The U.S. dollar, dominant in world trade since the establishment of the 1944 Bretton Woods System, is unequivocally the world’s most demanded reserve currency. Today, more than 61% of foreign bank reserves and nearly 40% of the entire world’s debt is denominated in U.S. dollars1.
However, there is a massive supply and demand imbalance in the U.S. dollar market. On the supply side, central banks throughout the world have implemented more than a decade-long accommodative monetary policy since the 2008 global financial crisis. The COVID-19 pandemic further exacerbated the need for central banks to provide necessary liquidity and keep staggering economies moving. While the Federal Reserve leads the effort of “money printing” and stimulus programs, the current money supply still cannot meet the constant high demand for the U.S. dollar2. Let us review some of the reasons for this constant dollar demand from a few economic fundamentals.

Demand for U.S. Dollars

Firstly, most of the world’s trade is denominated in U.S. dollars. Chief Economist of the IMF, Gita Gopinath, has compiled data reflecting that the U.S. dollar’s share of invoicing was 4.7 times larger than America’s share of the value of imports, and 3.1 times its share of world exports3. The U.S. dollar is the dominant “invoicing currency” in most developing countries4.

https://preview.redd.it/d4xalwdyz8p51.png?width=535&format=png&auto=webp&s=9f0556c6aa6b29016c9b135f3279e8337dfee2a6

https://preview.redd.it/wucg40kzz8p51.png?width=653&format=png&auto=webp&s=71257fec29b43e0fc0df1bf04363717e3b52478f
This U.S. dollar preference also directly impacts the world’s debt. According to the Bank of International Settlements, there is over $67 trillion in U.S. dollar denominated debt globally, and borrowing outside of the U.S. accounted for $12.5 trillion in Q1 20205. There is an immense demand for U.S. dollars every year just to service these dollar debts. The annual U.S. dollar buying demand is easily over $1 trillion assuming the borrowing cost is at 1.5% (1 year LIBOR + 1%) per year, a conservative estimate.

https://preview.redd.it/6956j6f109p51.png?width=487&format=png&auto=webp&s=ccea257a4e9524c11df25737cac961308b542b69
Secondly, since the U.S. has a much stronger economy compared to its global peers, a higher return on investments draws U.S. dollar demand from everywhere in the world, to invest in companies both in the public and private markets. The U.S. hosts the largest stock markets in the world with more than $33 trillion in public market capitalization (combined both NYSE and NASDAQ)6. For the private market, North America’s total share is well over 60% of the $6.5 trillion global assets under management across private equity, real assets, and private debt investments7. The demand for higher quality investments extends to the fixed income market as well. As countries like Japan and Switzerland currently have negative-yielding interest rates8, fixed income investors’ quest for yield in the developed economies leads them back to the U.S. debt market. As of July 2020, there are $15 trillion worth of negative-yielding debt securities globally (see chart). In comparison, the positive, low-yielding U.S. debt remains a sound fixed income strategy for conservative investors in uncertain market conditions.

Source: Bloomberg
Last, but not least, there are many developing economies experiencing failing monetary policies, where hyperinflation has become a real national disaster. A classic example is Venezuela, where the currency Bolivar became practically worthless as the inflation rate skyrocketed to 10,000,000% in 20199. The recent Beirut port explosion in Lebanon caused a sudden economic meltdown and compounded its already troubled financial market, where inflation has soared to over 112% year on year10. For citizens living in unstable regions such as these, the only reliable store of value is the U.S. dollar. According to the Chainalysis 2020 Geography of Cryptocurrency Report, Venezuela has become one of the most active cryptocurrency trading countries11. The demand for cryptocurrency surges as a flight to safety mentality drives Venezuelans to acquire U.S. dollars to preserve savings that they might otherwise lose. The growth for cryptocurrency activities in those regions is fueled by these desperate citizens using cryptocurrencies as rails to access the U.S. dollar, on top of acquiring actual Bitcoin or other underlying crypto assets.

The Rise of Crypto Dollars

Due to the highly volatile nature of cryptocurrencies, USD stablecoin, a crypto-powered blockchain token that pegs its value to the U.S. dollar, was introduced to provide stable dollar exposure in the crypto trading sphere. Tether is the first of its kind. Issued in 2014 on the bitcoin blockchain (Omni layer protocol), under the token symbol USDT, it attempts to provide crypto traders with a stable settlement currency while they trade in and out of various crypto assets. The reason behind the stablecoin creation was to address the inefficient and burdensome aspects of having to move fiat U.S. dollars between the legacy banking system and crypto exchanges. Because one USDT is theoretically backed by one U.S. dollar, traders can use USDT to trade and settle to fiat dollars. It was not until 2017 that the majority of traders seemed to realize Tether’s intended utility and started using it widely. As of April 2019, USDT trading volume started exceeding the trading volume of bitcoina12, and it now dominates the crypto trading sphere with over $50 billion average daily trading volume13.

https://preview.redd.it/3vq7v1jg09p51.png?width=700&format=png&auto=webp&s=46f11b5f5245a8c335ccc60432873e9bad2eb1e1
An interesting aspect of USDT is that although the claimed 1:1 backing with U.S. dollar collateral is in question, and the Tether company is in reality running fractional reserves through a loose offshore corporate structure, Tether’s trading volume and adoption continues to grow rapidly14. Perhaps in comparison to fiat U.S. dollars, which is not really backed by anything, Tether still has cash equivalents in reserves and crypto traders favor its liquidity and convenience over its lack of legitimacy. For those who are concerned about Tether’s solvency, they can now purchase credit default swaps for downside protection15. On the other hand, USDC, the more compliant contender, takes a distant second spot with total coin circulation of $1.8 billion, versus USDT at $14.5 billion (at the time of publication). It is still too early to tell who is the ultimate leader in the stablecoin arena, as more and more stablecoins are launching to offer various functions and supporting mechanisms. There are three main categories of stablecoin: fiat-backed, crypto-collateralized, and non-collateralized algorithm based stablecoins. Most of these are still at an experimental phase, and readers can learn more about them here. With the continuous innovation of stablecoin development, the utility stablecoins provide in the overall crypto market will become more apparent.

Institutional Developments

In addition to trade settlement, stablecoins can be applied in many other areas. Cross-border payments and remittances is an inefficient market that desperately needs innovation. In 2020, the average cost of sending money across the world is around 7%16, and it takes days to settle. The World Bank aims to reduce remittance fees to 3% by 2030. With the implementation of blockchain technology, this cost could be further reduced close to zero.
J.P. Morgan, the largest bank in the U.S., has created an Interbank Information Network (IIN) with 416 global Institutions to transform the speed of payment flows through its own JPM Coin, another type of crypto dollar17. Although people argue that JPM Coin is not considered a cryptocurrency as it cannot trade openly on a public blockchain, it is by far the largest scale experiment with all the institutional participants trading within the “permissioned” blockchain. It might be more accurate to refer to it as the use of distributed ledger technology (DLT) instead of “blockchain” in this context. Nevertheless, we should keep in mind that as J.P. Morgan currently moves $6 trillion U.S. dollars per day18, the scale of this experiment would create a considerable impact in the international payment and remittance market if it were successful. Potentially the day will come when regulated crypto exchanges become participants of IIN, and the link between public and private crypto assets can be instantly connected, unlocking greater possibilities in blockchain applications.
Many central banks are also in talks about developing their own central bank digital currency (CBDC). Although this idea was not new, the discussion was brought to the forefront due to Facebook’s aggressive Libra project announcement in June 2019 and the public attention that followed. As of July 2020, at least 36 central banks have published some sort of CBDC framework. While each nation has a slightly different motivation behind its currency digitization initiative, ranging from payment safety, transaction efficiency, easy monetary implementation, or financial inclusion, these central banks are committed to deploying a new digital payment infrastructure. When it comes to the technical architectures, research from BIS indicates that most of the current proofs-of-concept tend to be based upon distributed ledger technology (permissioned blockchain)19.

https://preview.redd.it/lgb1f2rw19p51.png?width=700&format=png&auto=webp&s=040bb0deed0499df6bf08a072fd7c4a442a826a0
These institutional experiments are laying an essential foundation for an improved global payment infrastructure, where instant and frictionless cross-border settlements can take place with minimal costs. Of course, the interoperability of private DLT tokens and public blockchain stablecoins has yet to be explored, but the innovation with both public and private blockchain efforts could eventually merge. This was highlighted recently by the Governor of the Bank of England who stated that “stablecoins and CBDC could sit alongside each other20”. One thing for certain is that crypto dollars (or other fiat-linked digital currencies) are going to play a significant role in our future economy.

Future Opportunities

There is never a dull moment in the crypto sector. The industry narratives constantly shift as innovation continues to evolve. Twelve years since its inception, Bitcoin has evolved from an abstract subject to a familiar concept. Its role as a secured, scarce, decentralized digital store of value has continued to gain acceptance, and it is well on its way to becoming an investable asset class as a portfolio hedge against asset price inflation and fiat currency depreciation. Stablecoins have proven to be useful as proxy dollars in the crypto world, similar to how dollars are essential in the traditional world. It is only a matter of time before stablecoins or private digital tokens dominate the cross-border payments and global remittances industry.
There are no shortages of hypes and experiments that draw new participants into the crypto space, such as smart contracts, new blockchains, ICOs, tokenization of things, or the most recent trends on DeFi tokens. These projects highlight the possibilities for a much more robust digital future, but the market also needs time to test and adopt. A reliable digital payment infrastructure must be built first in order to allow these experiments to flourish.
In this paper we examined the historical background and economic reasons for the U.S. dollar’s dominance in the world, and the probable conclusion is that the demand for U.S. dollars will likely continue, especially in the middle of a global pandemic, accompanied by a worldwide economic slowdown. The current monetary system is far from perfect, but there are no better alternatives for replacement at least in the near term. Incremental improvements are being made in both the public and private sectors, and stablecoins have a definite role to play in both the traditional and the new crypto world.
Thank you.

Reference:
[1] How the US dollar became the world’s reserve currency, Investopedia
[2] The dollar is in high demand, prone to dangerous appreciation, The Economist
[3] Dollar dominance in trade and finance, Gita Gopinath
[4] Global trades dependence on dollars, The Economist & IMF working papers
[5] Total credit to non-bank borrowers by currency of denomination, BIS
[6] Biggest stock exchanges in the world, Business Insider
[7] McKinsey Global Private Market Review 2020, McKinsey & Company
[8] Central banks current interest rates, Global Rates
[9] Venezuela hyperinflation hits 10 million percent, CNBC
[10] Lebanon inflation crisis, Reuters
[11] Venezuela cryptocurrency market, Chainalysis
[12] The most used cryptocurrency isn’t Bitcoin, Bloomberg
[13] Trading volume of all crypto assets, coinmarketcap.com
[14] Tether US dollar peg is no longer credible, Forbes
[15] New crypto derivatives let you bet on (or against) Tether’s solvency, Coindesk
[16] Remittance Price Worldwide, The World Bank
[17] Interbank Information Network, J.P. Morgan
[18] Jamie Dimon interview, CBS News
[19] Rise of the central bank digital currency, BIS
[20] Speech by Andrew Bailey, 3 September 2020, Bank of England
submitted by Tokenomy to tokenomyofficial [link] [comments]

Hibiscus Petroleum Berhad (5199.KL)


https://preview.redd.it/gp18bjnlabr41.jpg?width=768&format=pjpg&auto=webp&s=6054e7f52e8d52da403016139ae43e0e799abf15
Download PDF of this article here: https://docdro.id/6eLgUPo
In light of the recent fall in oil prices due to the Saudi-Russian dispute and dampening demand for oil due to the lockdowns implemented globally, O&G stocks have taken a severe beating, falling approximately 50% from their highs at the beginning of the year. Not spared from this onslaught is Hibiscus Petroleum Berhad (Hibiscus), a listed oil and gas (O&G) exploration and production (E&P) company.
Why invest in O&G stocks in this particularly uncertain period? For one, valuations of these stocks have fallen to multi-year lows, bringing the potential ROI on these stocks to attractive levels. Oil prices are cyclical, and are bound to return to the mean given a sufficiently long time horizon. The trick is to find those companies who can survive through this downturn and emerge into “normal” profitability once oil prices rebound.
In this article, I will explore the upsides and downsides of investing in Hibiscus. I will do my best to cater this report to newcomers to the O&G industry – rather than address exclusively experts and veterans of the O&G sector. As an equity analyst, I aim to provide a view on the company primarily, and will generally refrain from providing macro views on oil or opinions about secular trends of the sector. I hope you enjoy reading it!
Stock code: 5199.KL
Stock name: Hibiscus Petroleum Berhad
Financial information and financial reports: https://www.malaysiastock.biz/Corporate-Infomation.aspx?securityCode=5199
Company website: https://www.hibiscuspetroleum.com/

Company Snapshot

Hibiscus Petroleum Berhad (5199.KL) is an oil and gas (O&G) upstream exploration and production (E&P) company located in Malaysia. As an E&P company, their business can be basically described as:
· looking for oil,
· drawing it out of the ground, and
· selling it on global oil markets.
This means Hibiscus’s profits are particularly exposed to fluctuating oil prices. With oil prices falling to sub-$30 from about $60 at the beginning of the year, Hibiscus’s stock price has also fallen by about 50% YTD – from around RM 1.00 to RM 0.45 (as of 5 April 2020).
https://preview.redd.it/3dqc4jraabr41.png?width=641&format=png&auto=webp&s=7ba0e8614c4e9d781edfc670016a874b90560684
https://preview.redd.it/lvdkrf0cabr41.png?width=356&format=png&auto=webp&s=46f250a713887b06986932fa475dc59c7c28582e
While the company is domiciled in Malaysia, its two main oil producing fields are located in both Malaysia and the UK. The Malaysian oil field is commonly referred to as the North Sabah field, while the UK oil field is commonly referred to as the Anasuria oil field. Hibiscus has licenses to other oil fields in different parts of the world, notably the Marigold/Sunflower oil fields in the UK and the VIC cluster in Australia, but its revenues and profits mainly stem from the former two oil producing fields.
Given that it’s a small player and has only two primary producing oil fields, it’s not surprising that Hibiscus sells its oil to a concentrated pool of customers, with 2 of them representing 80% of its revenues (i.e. Petronas and BP). Fortunately, both these customers are oil supermajors, and are unlikely to default on their obligations despite low oil prices.
At RM 0.45 per share, the market capitalization is RM 714.7m and it has a trailing PE ratio of about 5x. It doesn’t carry any debt, and it hasn’t paid a dividend in its listing history. The MD, Mr. Kenneth Gerard Pereira, owns about 10% of the company’s outstanding shares.

Reserves (Total recoverable oil) & Production (bbl/day)

To begin analyzing the company, it’s necessary to understand a little of the industry jargon. We’ll start with Reserves and Production.
In general, there are three types of categories for a company’s recoverable oil volumes – Reserves, Contingent Resources and Prospective Resources. Reserves are those oil fields which are “commercial”, which is defined as below:
As defined by the SPE PRMS, Reserves are “… quantities of petroleum anticipated to be commercially recoverable by application of development projects to known accumulations from a given date forward under defined conditions.” Therefore, Reserves must be discovered (by drilling, recoverable (with current technology), remaining in the subsurface (at the effective date of the evaluation) and “commercial” based on the development project proposed.)
Note that Reserves are associated with development projects. To be considered as “commercial”, there must be a firm intention to proceed with the project in a reasonable time frame (typically 5 years, and such intention must be based upon all of the following criteria:)
- A reasonable assessment of the future economics of the development project meeting defined investment and operating criteria; - A reasonable expectation that there will be a market for all or at least the expected sales quantities of production required to justify development; - Evidence that the necessary production and transportation facilities are available or can be made available; and - Evidence that legal, contractual, environmental and other social and economic concerns will allow for the actual implementation of the recovery project being evaluated.
Contingent Resources and Prospective Resources are further defined as below:
- Contingent Resources: potentially recoverable volumes associated with a development plan that targets discovered volumes but is not (yet commercial (as defined above); and) - Prospective Resources: potentially recoverable volumes associated with a development plan that targets as yet undiscovered volumes.
In the industry lingo, we generally refer to Reserves as ‘P’ and Contingent Resources as ‘C’. These ‘P’ and ‘C’ resources can be further categorized into 1P/2P/3P resources and 1C/2C/3C resources, each referring to a low/medium/high estimate of the company’s potential recoverable oil volumes:
- Low/1C/1P estimate: there should be reasonable certainty that volumes actually recovered will equal or exceed the estimate; - Best/2C/2P estimate: there should be an equal likelihood of the actual volumes of petroleum being larger or smaller than the estimate; and - High/3C/3P estimate: there is a low probability that the estimate will be exceeded.
Hence in the E&P industry, it is easy to see why most investors and analysts refer to the 2P estimate as the best estimate for a company’s actual recoverable oil volumes. This is because 2P reserves (‘2P’ referring to ‘Proved and Probable’) are a middle estimate of the recoverable oil volumes legally recognized as “commercial”.
However, there’s nothing stopping you from including 2C resources (riskier) or utilizing 1P resources (conservative) as your estimate for total recoverable oil volumes, depending on your risk appetite. In this instance, the company has provided a snapshot of its 2P and 2C resources in its analyst presentation:
https://preview.redd.it/o8qejdyc8br41.png?width=710&format=png&auto=webp&s=b3ab9be8f83badf0206adc982feda3a558d43e78
Basically, what the company is saying here is that by 2021, it will have classified as 2P reserves at least 23.7 million bbl from its Anasuria field and 20.5 million bbl from its North Sabah field – for total 2P reserves of 44.2 million bbl (we are ignoring the Australian VIC cluster as it is only estimated to reach first oil by 2022).
Furthermore, the company is stating that they have discovered (but not yet legally classified as “commercial”) a further 71 million bbl of oil from both the Anasuria and North Sabah fields, as well as the Marigold/Sunflower fields. If we include these 2C resources, the total potential recoverable oil volumes could exceed 100 million bbl.
In this report, we shall explore all valuation scenarios giving consideration to both 2P and 2C resources.
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The company further targets a 2021 production rate of 20,000 bbl (LTM: 8,000 bbl), which includes 5,000 bbl from its Anasuria field (LTM: 2,500 bbl) and 7,000 bbl from its North Sabah field (LTM: 5,300 bbl).
This is a substantial increase in forecasted production from both existing and prospective oil fields. If it materializes, annual production rate could be as high as 7,300 mmbbl, and 2021 revenues (given FY20 USD/bbl of $60) could exceed RM 1.5 billion (FY20: RM 988 million).
However, this targeted forecast is quite a stretch from current production levels. Nevertheless, we shall consider all provided information in estimating a valuation for Hibiscus.
To understand Hibiscus’s oil production capacity and forecast its revenues and profits, we need to have a better appreciation of the performance of its two main cash-generating assets – the North Sabah field and the Anasuria field.

North Sabah oil field
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Hibiscus owns a 50% interest in the North Sabah field together with its partner Petronas, and has production rights over the field up to year 2040. The asset contains 4 oil fields, namely the St Joseph field, South Furious field, SF 30 field and Barton field.
For the sake of brevity, we shall not delve deep into the operational aspects of the fields or the contractual nature of its production sharing contract (PSC). We’ll just focus on the factors which relate to its financial performance. These are:
· Average uptime
· Total oil sold
· Average realized oil price
· Average OPEX per bbl
With regards to average uptime, we can see that the company maintains relative high facility availability, exceeding 90% uptime in all quarters of the LTM with exception of Jul-Sep 2019. The dip in average uptime was due to production enhancement projects and maintenance activities undertaken to improve the production capacity of the St Joseph and SF30 oil fields.
Hence, we can conclude that management has a good handle on operational performance. It also implies that there is little room for further improvement in production resulting from increased uptime.
As North Sabah is under a production sharing contract (PSC), there is a distinction between gross oil production and net oil production. The former relates to total oil drawn out of the ground, whereas the latter refers to Hibiscus’s share of oil production after taxes, royalties and expenses are accounted for. In this case, we want to pay attention to net oil production, not gross.
We can arrive at Hibiscus’s total oil sold for the last twelve months (LTM) by adding up the total oil sold for each of the last 4 quarters. Summing up the figures yields total oil sold for the LTM of approximately 2,075,305 bbl.
Then, we can arrive at an average realized oil price over the LTM by averaging the average realized oil price for the last 4 quarters, giving us an average realized oil price over the LTM of USD 68.57/bbl. We can do the same for average OPEX per bbl, giving us an average OPEX per bbl over the LTM of USD 13.23/bbl.
Thus, we can sum up the above financial performance of the North Sabah field with the following figures:
· Total oil sold: 2,075,305 bbl
· Average realized oil price: USD 68.57/bbl
· Average OPEX per bbl: USD 13.23/bbl

Anasuria oil field
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Doing the same exercise as above for the Anasuria field, we arrive at the following financial performance for the Anasuria field:
· Total oil sold: 1,073,304 bbl
· Average realized oil price: USD 63.57/bbl
· Average OPEX per bbl: USD 23.22/bbl
As gas production is relatively immaterial, and to be conservative, we shall only consider the crude oil production from the Anasuria field in forecasting revenues.

Valuation (Method 1)

Putting the figures from both oil fields together, we get the following data:
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Given that we have determined LTM EBITDA of RM 632m, the next step would be to subtract ITDA (interest, tax, depreciation & amortization) from it to obtain estimated LTM Net Profit. Using FY2020’s ITDA of approximately RM 318m as a guideline, we arrive at an estimated LTM Net Profit of RM 314m (FY20: 230m). Given the current market capitalization of RM 714.7m, this implies a trailing LTM PE of 2.3x.
Performing a sensitivity analysis given different oil prices, we arrive at the following net profit table for the company under different oil price scenarios, assuming oil production rate and ITDA remain constant:
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From the above exercise, it becomes apparent that Hibiscus has a breakeven oil price of about USD 41.8863/bbl, and has a lot of operating leverage given the exponential rate of increase in its Net Profit with each consequent increase in oil prices.
Considering that the oil production rate (EBITDA) is likely to increase faster than ITDA’s proportion to revenues (fixed costs), at an implied PE of 4.33x, it seems likely that an investment in Hibiscus will be profitable over the next 10 years (with the assumption that oil prices will revert to the mean in the long-term).

Valuation (Method 2)

Of course, there are a lot of assumptions behind the above method of valuation. Hence, it would be prudent to perform multiple methods of valuation and compare the figures to one another.
As opposed to the profit/loss assessment in Valuation (Method 1), another way of performing a valuation would be to estimate its balance sheet value, i.e. total revenues from 2P Reserves, and assign a reasonable margin to it.
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From the above, we understand that Hibiscus’s 2P reserves from the North Sabah and Anasuria fields alone are approximately 44.2 mmbbl (we ignore contribution from Australia’s VIC cluster as it hasn’t been developed yet).
Doing a similar sensitivity analysis of different oil prices as above, we arrive at the following estimated total revenues and accumulated net profit:
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Let’s assume that the above average of RM 9.68 billion in total realizable revenues from current 2P reserves holds true. If we assign a conservative Net Profit margin of 15% (FY20: 23%; past 5 years average: 16%), we arrive at estimated accumulated Net Profit from 2P Reserves of RM 1.452 billion. Given the current market capitalization of RM 714 million, we might be able to say that the equity is worth about twice the current share price.
However, it is understandable that some readers might feel that the figures used in the above estimate (e.g. net profit margin of 15%) were randomly plucked from the sky. So how do we reconcile them with figures from the financial statements? Fortunately, there appears to be a way to do just that.
Intangible Assets
I refer you to a figure in the financial statements which provides a shortcut to the valuation of 2P Reserves. This is the carrying value of Intangible Assets on the Balance Sheet.
As of 2QFY21, that amount was RM 1,468,860,000 (i.e. RM 1.468 billion).
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Quite coincidentally, one might observe that this figure is dangerously close to the estimated accumulated Net Profit from 2P Reserves of RM 1.452 billion we calculated earlier. But why would this amount matter at all?
To answer that, I refer you to the notes of the Annual Report FY20 (AR20). On page 148 of the AR20, we find the following two paragraphs:
E&E assets comprise of rights and concession and conventional studies. Following the acquisition of a concession right to explore a licensed area, the costs incurred such as geological and geophysical surveys, drilling, commercial appraisal costs and other directly attributable costs of exploration and appraisal including technical and administrative costs, are capitalised as conventional studies, presented as intangible assets.
E&E assets are assessed for impairment when facts and circumstances suggest that the carrying amount of an E&E asset may exceed its recoverable amount. The Group will allocate E&E assets to cash generating unit (“CGU”s or groups of CGUs for the purpose of assessing such assets for impairment. Each CGU or group of units to which an E&E asset is allocated will not be larger than an operating segment as disclosed in Note 39 to the financial statements.)
Hence, we can determine that firstly, the intangible asset value represents capitalized costs of acquisition of the oil fields, including technical exploration costs and costs of acquiring the relevant licenses. Secondly, an impairment review will be carried out when “the carrying amount of an E&E asset may exceed its recoverable amount”, with E&E assets being allocated to “cash generating units” (CGU) for the purposes of assessment.
On page 169 of the AR20, we find the following:
Carrying amounts of the Group’s intangible assets, oil and gas assets and FPSO are reviewed for possible impairment annually including any indicators of impairment. For the purpose of assessing impairment, assets are grouped at the lowest level CGUs for which there is a separately identifiable cash flow available. These CGUs are based on operating areas, represented by the 2011 North Sabah EOR PSC (“North Sabah”, the Anasuria Cluster, the Marigold and Sunflower fields, the VIC/P57 exploration permit (“VIC/P57”) and the VIC/L31 production license (“VIC/L31”).)
So apparently, the CGUs that have been assigned refer to the respective oil producing fields, two of which include the North Sabah field and the Anasuria field. In order to perform the impairment review, estimates of future cash flow will be made by management to assess the “recoverable amount” (as described above), subject to assumptions and an appropriate discount rate.
Hence, what we can gather up to now is that management will estimate future recoverable cash flows from a CGU (i.e. the North Sabah and Anasuria oil fields), compare that to their carrying value, and perform an impairment if their future recoverable cash flows are less than their carrying value. In other words, if estimated accumulated profits from the North Sabah and Anasuria oil fields are less than their carrying value, an impairment is required.
So where do we find the carrying values for the North Sabah and Anasuria oil fields? Further down on page 184 in the AR20, we see the following:
Included in rights and concession are the carrying amounts of producing field licenses in the Anasuria Cluster amounting to RM668,211,518 (2018: RM687,664,530, producing field licenses in North Sabah amounting to RM471,031,008 (2018: RM414,333,116))
Hence, we can determine that the carrying values for the North Sabah and Anasuria oil fields are RM 471m and RM 668m respectively. But where do we find the future recoverable cash flows of the fields as estimated by management, and what are the assumptions used in that calculation?
Fortunately, we find just that on page 185:
17 INTANGIBLE ASSETS (CONTINUED)
(a Anasuria Cluster)
The Directors have concluded that there is no impairment indicator for Anasuria Cluster during the current financial year. In the previous financial year, due to uncertainties in crude oil prices, the Group has assessed the recoverable amount of the intangible assets, oil and gas assets and FPSO relating to the Anasuria Cluster. The recoverable amount is determined using the FVLCTS model based on discounted cash flows (“DCF” derived from the expected cash in/outflow pattern over the production lives.)
The key assumptions used to determine the recoverable amount for the Anasuria Cluster were as follows:
(i Discount rate of 10%;)
(ii Future cost inflation factor of 2% per annum;)
(iii Oil price forecast based on the oil price forward curve from independent parties; and,)
(iv Oil production profile based on the assessment by independent oil and gas reserve experts.)
Based on the assessments performed, the Directors concluded that the recoverable amount calculated based on the valuation model is higher than the carrying amount.
(b North Sabah)
The acquisition of the North Sabah assets was completed in the previous financial year. Details of the acquisition are as disclosed in Note 15 to the financial statements.
The Directors have concluded that there is no impairment indicator for North Sabah during the current financial year.
Here, we can see that the recoverable amount of the Anasuria field was estimated based on a DCF of expected future cash flows over the production life of the asset. The key assumptions used by management all seem appropriate, including a discount rate of 10% and oil price and oil production estimates based on independent assessment. From there, management concludes that the recoverable amount of the Anasuria field is higher than its carrying amount (i.e. no impairment required). Likewise, for the North Sabah field.
How do we interpret this? Basically, what management is saying is that given a 10% discount rate and independent oil price and oil production estimates, the accumulated profits (i.e. recoverable amount) from both the North Sabah and the Anasuria fields exceed their carrying amounts of RM 471m and RM 668m respectively.
In other words, according to management’s own estimates, the carrying value of the Intangible Assets of RM 1.468 billion approximates the accumulated Net Profit recoverable from 2P reserves.
To conclude Valuation (Method 2), we arrive at the following:

Our estimates Management estimates
Accumulated Net Profit from 2P Reserves RM 1.452 billion RM 1.468 billion

Financials

By now, we have established the basic economics of Hibiscus’s business, including its revenues (i.e. oil production and oil price scenarios), costs (OPEX, ITDA), profitability (breakeven, future earnings potential) and balance sheet value (2P reserves, valuation). Moving on, we want to gain a deeper understanding of the 3 statements to anticipate any blind spots and risks. We’ll refer to the financial statements of both the FY20 annual report and the 2Q21 quarterly report in this analysis.
For the sake of brevity, I’ll only point out those line items which need extra attention, and skip over the rest. Feel free to go through the financial statements on your own to gain a better familiarity of the business.
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Income Statement
First, we’ll start with the Income Statement on page 135 of the AR20. Revenues are straightforward, as we’ve discussed above. Cost of Sales and Administrative Expenses fall under the jurisdiction of OPEX, which we’ve also seen earlier. Other Expenses are mostly made up of Depreciation & Amortization of RM 115m.
Finance Costs are where things start to get tricky. Why does a company which carries no debt have such huge amounts of finance costs? The reason can be found in Note 8, where it is revealed that the bulk of finance costs relate to the unwinding of discount of provision for decommissioning costs of RM 25m (Note 32).
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This actually refers to the expected future costs of restoring the Anasuria and North Sabah fields to their original condition once the oil reserves have been depleted. Accounting standards require the company to provide for these decommissioning costs as they are estimable and probable. The way the decommissioning costs are accounted for is the same as an amortized loan, where the initial carrying value is recognized as a liability and the discount rate applied is reversed each year as an expense on the Income Statement. However, these expenses are largely non-cash in nature and do not necessitate a cash outflow every year (FY20: RM 69m).
Unwinding of discount on non-current other payables of RM 12m relate to contractual payments to the North Sabah sellers. We will discuss it later.
Taxation is another tricky subject, and is even more significant than Finance Costs at RM 161m. In gist, Hibiscus is subject to the 38% PITA (Petroleum Income Tax Act) under Malaysian jurisdiction, and the 30% Petroleum tax + 10% Supplementary tax under UK jurisdiction. Of the RM 161m, RM 41m of it relates to deferred tax which originates from the difference between tax treatment and accounting treatment on capitalized assets (accelerated depreciation vs straight-line depreciation). Nonetheless, what you should take away from this is that the tax expense is a tangible expense and material to breakeven analysis.
Fortunately, tax is a variable expense, and should not materially impact the cash flow of Hibiscus in today’s low oil price environment.
Note: Cash outflows for Tax Paid in FY20 was RM 97m, substantially below the RM 161m tax expense.
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Balance Sheet
The balance sheet of Hibiscus is unexciting; I’ll just bring your attention to those line items which need additional scrutiny. I’ll use the figures in the latest 2Q21 quarterly report (2Q21) and refer to the notes in AR20 for clarity.
We’ve already discussed Intangible Assets in the section above, so I won’t dwell on it again.
Moving on, the company has Equipment of RM 582m, largely relating to O&G assets (e.g. the Anasuria FPSO vessel and CAPEX incurred on production enhancement projects). Restricted cash and bank balances represent contractual obligations for decommissioning costs of the Anasuria Cluster, and are inaccessible for use in operations.
Inventories are relatively low, despite Hibiscus being an E&P company, so forex fluctuations on carrying value of inventories are relatively immaterial. Trade receivables largely relate to entitlements from Petronas and BP (both oil supermajors), and are hence quite safe from impairment. Other receivables, deposits and prepayments are significant as they relate to security deposits placed with sellers of the oil fields acquired; these should be ignored for cash flow purposes.
Note: Total cash and bank balances do not include approximately RM 105 m proceeds from the North Sabah December 2019 offtake (which was received in January 2020)
Cash and bank balances of RM 90m do not include RM 105m of proceeds from offtake received in 3Q21 (Jan 2020). Hence, the actual cash and bank balances as of 2Q21 approximate RM 200m.
Liabilities are a little more interesting. First, I’ll draw your attention to the significant Deferred tax liabilities of RM 457m. These largely relate to the amortization of CAPEX (i.e. Equipment and capitalized E&E expenses), which is given an accelerated depreciation treatment for tax purposes.
The way this works is that the government gives Hibiscus a favorable tax treatment on capital expenditures incurred via an accelerated depreciation schedule, so that the taxable income is less than usual. However, this leads to the taxable depreciation being utilized quicker than accounting depreciation, hence the tax payable merely deferred to a later period – when the tax depreciation runs out but accounting depreciation remains. Given the capital intensive nature of the business, it is understandable why Deferred tax liabilities are so large.
We’ve discussed Provision for decommissioning costs under the Finance Costs section earlier. They are also quite significant at RM 266m.
Notably, the Other Payables and Accruals are a hefty RM 431m. What do they relate to? Basically, they are contractual obligations to the sellers of the oil fields which are only payable upon oil prices reaching certain thresholds. Hence, while they are current in nature, they will only become payable when oil prices recover to previous highs, and are hence not an immediate cash outflow concern given today’s low oil prices.
Cash Flow Statement
There is nothing in the cash flow statement which warrants concern.
Notably, the company generated OCF of approximately RM 500m in FY20 and RM 116m in 2Q21. It further incurred RM 330m and RM 234m of CAPEX in FY20 and 2Q21 respectively, largely owing to production enhancement projects to increase the production rate of the Anasuria and North Sabah fields, which according to management estimates are accretive to ROI.
Tax paid was RM 97m in FY20 and RM 61m in 2Q21 (tax expense: RM 161m and RM 62m respectively).

Risks

There are a few obvious and not-so-obvious risks that one should be aware of before investing in Hibiscus. We shall not consider operational risks (e.g. uptime, OPEX) as they are outside the jurisdiction of the equity analyst. Instead, we shall focus on the financial and strategic risks largely outside the control of management. The main ones are:
· Oil prices remaining subdued for long periods of time
· Fluctuation of exchange rates
· Customer concentration risk
· 2P Reserves being less than estimated
· Significant current and non-current liabilities
· Potential issuance of equity
Oil prices remaining subdued
Of topmost concern in the minds of most analysts is whether Hibiscus has the wherewithal to sustain itself through this period of low oil prices (sub-$30). A quick and dirty estimate of annual cash outflow (i.e. burn rate) assuming a $20 oil world and historical production rates is between RM 50m-70m per year, which considering the RM 200m cash balance implies about 3-4 years of sustainability before the company runs out of cash and has to rely on external assistance for financing.
Table 1: Hibiscus EBITDA at different oil price and exchange rates
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The above table shows different EBITDA scenarios (RM ‘m) given different oil prices (left column) and USD:MYR exchange rates (top row). Currently, oil prices are $27 and USD:MYR is 1:4.36.
Given conservative assumptions of average OPEX/bbl of $20 (current: $15), we can safely say that the company will be loss-making as long as oil remains at $20 or below (red). However, we can see that once oil prices hit $25, the company can tank the lower-end estimate of the annual burn rate of RM 50m (orange), while at RM $27 it can sufficiently muddle through the higher-end estimate of the annual burn rate of RM 70m (green).
Hence, we can assume that as long as the average oil price over the next 3-4 years remains above $25, Hibiscus should come out of this fine without the need for any external financing.
Customer Concentration Risk
With regards to customer concentration risk, there is not much the analyst or investor can do except to accept the risk. Fortunately, 80% of revenues can be attributed to two oil supermajors (Petronas and BP), hence the risk of default on contractual obligations and trade receivables seems to be quite diminished.
2P Reserves being less than estimated
2P Reserves being less than estimated is another risk that one should keep in mind. Fortunately, the current market cap is merely RM 714m – at half of estimated recoverable amounts of RM 1.468 billion – so there’s a decent margin of safety. In addition, there are other mitigating factors which shall be discussed in the next section (‘Opportunities’).
Significant non-current and current liabilities
The significant non-current and current liabilities have been addressed in the previous section. It has been determined that they pose no threat to immediate cash flow due to them being long-term in nature (e.g. decommissioning costs, deferred tax, etc). Hence, for the purpose of assessing going concern, their amounts should not be a cause for concern.
Potential issuance of equity
Finally, we come to the possibility of external financing being required in this low oil price environment. While the company should last 3-4 years on existing cash reserves, there is always the risk of other black swan events materializing (e.g. coronavirus) or simply oil prices remaining muted for longer than 4 years.
Furthermore, management has hinted that they wish to acquire new oil assets at presently depressed prices to increase daily production rate to a targeted 20,000 bbl by end-2021. They have room to acquire debt, but they may also wish to issue equity for this purpose. Hence, the possibility of dilution to existing shareholders cannot be entirely ruled out.
However, given management’s historical track record of prioritizing ROI and optimal capital allocation, and in consideration of the fact that the MD owns 10% of outstanding shares, there is some assurance that any potential acquisitions will be accretive to EPS and therefore valuations.

Opportunities

As with the existence of risk, the presence of material opportunities also looms over the company. Some of them are discussed below:
· Increased Daily Oil Production Rate
· Inclusion of 2C Resources
· Future oil prices exceeding $50 and effects from coronavirus dissipating
Increased Daily Oil Production Rate
The first and most obvious opportunity is the potential for increased production rate. We’ve seen in the last quarter (2Q21) that the North Sabah field increased its daily production rate by approximately 20% as a result of production enhancement projects (infill drilling), lowering OPEX/bbl as a result. To vastly oversimplify, infill drilling is the process of maximizing well density by drilling in the spaces between existing wells to improve oil production.
The same improvements are being undertaken at the Anasuria field via infill drilling, subsea debottlenecking, water injection and sidetracking of existing wells. Without boring you with industry jargon, this basically means future production rate is likely to improve going forward.
By how much can the oil production rate be improved by? Management estimates in their analyst presentation that enhancements in the Anasuria field will be able to yield 5,000 bbl/day by 2021 (current: 2,500 bbl/day).
Similarly, improvements in the North Sabah field is expected to yield 7,000 bbl/day by 2021 (current: 5,300 bbl/day).
This implies a total 2021 expected daily production rate from the two fields alone of 12,000 bbl/day (current: 8,000 bbl/day). That’s a 50% increase in yields which we haven’t factored into our valuation yet.
Furthermore, we haven’t considered any production from existing 2C resources (e.g. Marigold/Sunflower) or any potential acquisitions which may occur in the future. By management estimates, this can potentially increase production by another 8,000 bbl/day, bringing total production to 20,000 bbl/day.
While this seems like a stretch of the imagination, it pays to keep them in mind when forecasting future revenues and valuations.
Just to play around with the numbers, I’ve come up with a sensitivity analysis of possible annual EBITDA at different oil prices and daily oil production rates:
Table 2: Hibiscus EBITDA at different oil price and daily oil production rates
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The left column represents different oil prices while the top row represents different daily oil production rates.
The green column represents EBITDA at current daily production rate of 8,000 bbl/day; the orange column represents EBITDA at targeted daily production rate of 12,000 bbl/day; while the purple column represents EBITDA at maximum daily production rate of 20,000 bbl/day.
Even conservatively assuming increased estimated annual ITDA of RM 500m (FY20: RM 318m), and long-term average oil prices of $50 (FY20: $60), the estimated Net Profit and P/E ratio is potentially lucrative at daily oil production rates of 12,000 bbl/day and above.
2C Resources
Since we’re on the topic of improved daily oil production rate, it bears to pay in mind the relatively enormous potential from Hibiscus’s 2C Resources. North Sabah’s 2C Resources alone exceed 30 mmbbl; while those from the yet undiagnosed Marigold/Sunflower fields also reach 30 mmbbl. Altogether, 2C Resources exceed 70 mmbbl, which dwarfs the 44 mmbbl of 2P Reserves we have considered up to this point in our valuation estimates.
To refresh your memory, 2C Resources represents oil volumes which have been discovered but are not yet classified as “commercial”. This means that there is reasonable certainty of the oil being recoverable, as opposed to simply being in the very early stages of exploration. So, to be conservative, we will imagine that only 50% of 2C Resources are eligible for reclassification to 2P reserves, i.e. 35 mmbbl of oil.
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This additional 35 mmbbl of oil represents an 80% increase to existing 2P reserves. Assuming the daily oil production rate increases similarly by 80%, we will arrive at 14,400 bbl/day of oil production. According to Table 2 above, this would yield an EBITDA of roughly RM 630m assuming $50 oil.
Comparing that estimated EBITDA to FY20’s actual EBITDA:
FY20 FY21 (incl. 2C) Difference
Daily oil production (bbl/day) 8,626 14,400 +66%
Average oil price (USD/bbl) $68.57 $50 -27%
Average OPEX/bbl (USD) $16.64 $20 +20%
EBITDA (RM ‘m) 632 630 -
Hence, even conservatively assuming lower oil prices and higher OPEX/bbl (which should decrease in the presence of higher oil volumes) than last year, we get approximately the same EBITDA as FY20.
For the sake of completeness, let’s assume that Hibiscus issues twice the no. of existing shares over the next 10 years, effectively diluting shareholders by 50%. Even without accounting for the possibility of the acquisition of new oil fields, at the current market capitalization of RM 714m, the prospective P/E would be about 10x. Not too shabby.
Future oil prices exceeding $50 and effects from coronavirus dissipating
Hibiscus shares have recently been hit by a one-two punch from oil prices cratering from $60 to $30, as a result of both the Saudi-Russian dispute and depressed demand for oil due to coronavirus. This has massively increased supply and at the same time hugely depressed demand for oil (due to the globally coordinated lockdowns being implemented).
Given a long enough timeframe, I fully expect OPEC+ to come to an agreement and the economic effects from the coronavirus to dissipate, allowing oil prices to rebound. As we equity investors are aware, oil prices are cyclical and are bound to recover over the next 10 years.
When it does, valuations of O&G stocks (including Hibiscus’s) are likely to improve as investors overshoot expectations and begin to forecast higher oil prices into perpetuity, as they always tend to do in good times. When that time arrives, Hibiscus’s valuations are likely to become overoptimistic as all O&G stocks tend to do during oil upcycles, resulting in valuations far exceeding reasonable estimates of future earnings. If you can hold the shares up until then, it’s likely you will make much more on your investment than what we’ve been estimating.

Conclusion

Wrapping up what we’ve discussed so far, we can conclude that Hibiscus’s market capitalization of RM 714m far undershoots reasonable estimates of fair value even under conservative assumptions of recoverable oil volumes and long-term average oil prices. As a value investor, I hesitate to assign a target share price, but it’s safe to say that this stock is worth at least RM 1.00 (current: RM 0.45). Risk is relatively contained and the upside far exceeds the downside. While I have no opinion on the short-term trajectory of oil prices, I can safely recommend this stock as a long-term Buy based on fundamental research.
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So you wanna trade Forex? - tips and tricks inside

Let me just sum some stuff up for you newbies out there. Ive been trading for years, last couple of years more seriously and i turned my strategies into algorithms and i am currently up to 18 algorithms thats trading for me 24/7. Ive learned alot, listened to hundreds of podcasts and read tons of books + research papers and heres some tips and tricks for any newbie out there.

  1. Strategy - How to... When people say "you need a trading strategy!!" Its because trading is very hard and emotional. You need to stick to your rules at all times. Dont panic and move your stop loss or target unless your rules tell you to. Now how do you make these rules? Well this is the part that takes alot of time. If your rules are very simple (for example: "Buy if Last candles low was the lowest low of the past 10 candles." Lets make this a rule. You can backtest it manually by looking at a chart and going back in time and check every candle. or you can code it using super simple software like prorealtime, MT4 ++ Alot of software is basicly "click and drag" and press a button and it gives you backtest from 10-20-30 years ago in 5 seconds. This is the absolute easiest way to backtest rules and systems. If your trading "pure price action" with your drawn lines and shit, the only way to truly backtest that kind of trading is going in a random forex pair to a random point in time, could be 1 year ago, 1 month ago, 5 years ago.. and then you just trade! Move chart 1 candle at a time, draw your lines and do some "actual trading" and look at your results after moving forward in the chart. If you do not test your strategy your just going in blind, which could be disaster.. Maybe someone told u "this is the correct way to trade" or "this strategy is 90% sure to win every trade!!!" If you think you can do trading without a strategy, then your most likely going to look back at an empty account and wonder why you moved that stop loss or why you didnt take profit etc.. and then your gonna give up. People on youtube, forums, interwebz are not going to give you/sell you a working strategy thats gonna make you rich. If they had a working strategy, they would not give it away/sell it to you.
  2. Money management - How to.... Gonna keep this one short. Risk a small % of your capital on each trade. Dont risk 10%, dont risk 20%. You are going to see loosing trades, your probably gonna see 5-10 loss in a row!! If your trading a 1000$ account and your risking 100$ on each trade (10%) and you loose 5 in a row, your down -50% and probably you cant even trade cus of margin req. Game over.. Now how does one get super rich, super fast, from risking 1-3% of your account on each trade?? Well heres the shocking message: YOU CANT GET RICH FAST FROM TRADING UNLESS YOUR WILLING TO GO ALL IN! You can of course go all in on each trade and if you get em all right, you might get 1000%, then you go all in 1 more time and loose it all... The whole point of trading is NOT going bust. Not loosing everything, cus if you loose it all its game over and no more trading for you.
  3. Find your own trading style.... Everyone is different. You can have an average holding period of 1 month or you could be looking at a 1 min chart and average holding time = 10 minutes. For some, less volatility helps them sleep at night. For others, more volatility gives them a rush and some people crave this. There is no "correct" timeframes, or holding periods, or how much to profit or how much to loose. We are all individuals with different taste in risk. Some dont like risk, others wanna go all in to get rich over night. The smart approach is somewhere in the middle. If you dont risk anything, your not gonna get anything. If you risk everything, your most likely going to loose everything. When people are talking about trading style, this is kinda what that means.
  4. There are mainly 2 ways to trade: Divergence and Convergence. Or in other words: Mean reversion or trend following. Lets talk about them both: Trend following is trying to find a trend and stay with the trend until its over. Mean reversion is the belief that price is too far away from the average XX of price, and sooner or later, price will have to return to its average/mean (hence the name: MEAN reversion). Trend following systems usually see a lower winrate (30-40% winrate with no money management is not uncommon to see when backtesting trend following systems.. You can add good money management to get the winrate % higher. Why is the % winrate so low? Well a market, whatever that market is, tend to get real choppy and nasty right after a huge trend. So your gonna see alot of choppy fake signals that might kill 5-6 trades in a row, until the next huge trend starts which is going to cover all the losses from the small losses before the trend took off. Then you gotta hold that trade until trade is done. How do you define "when trend starts and stops"? Well thats back to point 1, find a strategy. Try defining rules for an entry and exit and see how it goes when you backtest it. For mean reversion the win % is usually high, like 70-90% winrate, but the average winning trade is alot smaller than the average loosing trade. this happens because you are basicly trying to catch a falling knife, or catch a booming rocket. Usually when trading mean reversion, waiting for price to actually reverse can very often leave you with being "too late", so you kinda have to find "the bottom" or "the top" before it actually has bottomed/ topped out and reversed. How can you do this you ask? Well your never going to hit every top or every bottom, but you can find ways to find "the bottom-ish" or "the top-ish", thens ell as soon as price reverts back to the mean. Sometimes your gonna wish you held on to the trade for longer, but again, back to point 1: Backtest your rules and figure that shit out.

Read these 4 points and try to follow them and you are at least 4 steps closer to being a profitable trader. Some might disagree with me on some points but i think for the majority, people are going to agree that these 4 points are pretty much universal. Most traders have done or are doing these things every day, in every trade.
Here is some GREAT material to read: Kevin Davey has won trading championship multiple times and he has written multiple great books, from beginner to advanced level. Recommend these books 100%, for example: Building winning algorithmic trading systems" will give you alot to work with when it comes to all 4 of the above points. Market wizards, Reminiscences of a stock operator are 2 books that are a great read but wont give you much "trading knowledge" that you can directly use for your trading. Books on "The turtles" are great reading. Then you have podcasts and youtube. I would stay away from youtube as much as possible when it comes to "Heres how to use the rsi!!!" or "this strategy will make you rich!!". Most youtube videoes are made by people who wanna sell you a course or a book. Most of this is just pure bullshit. Youtube can very harmfull and i would honestly advice about going there for "strategy adivce" and such. Podcasts tho are amazing, i highly recommend: Better systems trader, Chat with traders, Top traders unplugged, We study billionairs, to name a few :)
Also, on a less funny note.. Please realize that you are, and i am, real fucking stupid and lazy compared to the actual pro's out there. This is why you should not go "all in" on some blind stupid strategy youve heard about. This is why this is indeed VERY FUCKING HARD and most, if not everyone has busted an account or two before realizing just this. Your dumb.. your not going to be super rich within 1 year.. You can not start with 500$ account and make millions! (some might have been able to do this, but know that for every winner, theres 999 loosers behind him that failed... Might work fine first 5 trades, then 1 fuckup tho and ur gone..
And lastly: Try using a backtesting software. Its often FREE!!! (on a demo account) and often so simple a baby could use it. If your trading lines and such there exists web broweser "games" and softwares that lets you go "1 and 1 candle ahead" in random forex pairs and that lets you trade as if its "real" as it goes.
A big backtesting trap however is backtesting "losely" by just drawing lines and looking at chart going "oh i would have taken this trade FOR SURE!! I would have made so much money!!" however this is not actually backtesting, its cherry picking and its biased beyond the grave, and its going to hurt you. Try going 1 candle at a time doing "real and live" trades and see how it goes.

Bonus point!!
many people misunderstands what indicators like the RSI is telling you. Indeed something is "overbought" or "oversold" but only compared to the last average of xx amounts of bars/candles.
It doesn't tell you that RIGHT NOW is a great time to sell or buy. It only tells you that the math formula that is RSI, gives you a number between 1-100, and when its above 70 its telling you that momentum is up compared to the last average 14 candles. This is not a complete buy/sell signal. Its more like a filter if anything. This is true for MOST indicators. They INDICATE stuff. Dont use them as pure buy/sell signals.. At least backtest that shit first! Your probably gonna be shocked at the shitty results if you "buy wehn rsi is undeer 30 and sell when RSI is above 70".

Editedit: Huge post already, why not copy paste my comment with an example showing the difference in trend following vs mean reversion:
The thing about trend following is that we never know when a trade starts and when it ends. So what often happens is that you have to buy every breakout going up, but not every breakout is a new trend. Lets do an example. Check out the photo i included here: https://imageshost.eu/image/image.RcC

THE PHOTO IS JUST AN EXAMPLE THAT SHOWS WHY A TYPICAL TREND FOLLOWING STRATEGY HAVE A "LOW" WINRATE.
THE PHOTO IS NOT SHOWING AN EXAMPLE OF MY STRATEGIES OR TRADING.

  1. We identify the big orange trend up.
  2. We see the big break down (marked with the vertical red line) this is telling us we are not going higher just yet. Our upwards trend is broken. However we might continue going up in a new trend, but when will that trend come?
  3. We can draw the blue trend very earyly using highs and lows, lines up and down. Then we begin to look for breakouts of the upper blue line. So every time price breaks upper blue line we have to buy (cus how else are we going to "catch the next trend going up?)
As you can see we get 5 false breakouts before the real breakout happens!
Now if you could tell fake breakouts from real breakouts, your gonna be rich hehe. For everyone else: Take every signal you can get, put a "tight" stop loss so in case its a fake signal you only loose a little bit. Then when breakout happens as you can clearly see in chart, your going to make back all the small losses.
So in this example we fail 5 times, but get 1 HUGE new trend going further up. This 1 huge trade, unless we fuck it up and take profits too early or shit like that, is going to win back all those small losses + more.
This is why trend following has a low winrate. You get 5 small loss and 1 big win.

Now lets flip this! Imagine if your trading Mean reversion on all the same red arrows! So every time price hits the blue line, we go short back to the bottom (or middle) again! You would have won 5 trades with small profits, but on that last one you would get stopped out so hard. Meaning 5 small wins, 1 big loss (as some have pointed out in comments, if you where trading mean reverting you would wanna buy the lows as well as short the tops - photo was suppose to show why trend following strategies have a lower % winrate.)

Final edit: sorry this looks like a wall of text on ur phones.
submitted by RipRepRop to Forex [link] [comments]

When will we bottom out?

PART 2 : https://www.reddit.com/wallstreetbets/comments/g0sd44/what_is_the_bottom/
PART 3: https://www.reddit.com/wallstreetbets/comments/g2enz2/why_the_printer_must_continue/
Edit: By popular demand, the too long didn't read is now at the top
TL;DR
SPY 220p 11/20
This will likely be a multi-part series. It should be noted that I am no expert by any means, I'm actually quite new to this, it is just an elementary analysis of patterns in price and time. I am not a financial advisor, and this is not advice for a person to enter trades upon.
The fundamental divide in trading revolves around the question of market structure. Many feel that the market operates totally randomly and its’ behavior cannot be predicted. For the purposes of this DD, we will assume that the market has a structure, but that that structure is not perfect. That market structure naturally generates chart patterns as the market records prices in time. We will analyze an instrument, an exchange traded fund, which represents an index, as opposed to a particular stock. The price patterns of the various stocks in an index are effectively smoothed out. In doing so, a more technical picture arises. Perhaps the most popular of these is the SPDR S&P Standard and Poor 500 Exchange Traded Fund ($SPY).
In trading, little to no concern is given about value of underlying asset. We concerned primarily about liquidity and trading ranges, which are the amount of value fluctuating on a short-term basis, as measured by volatility-implied trading ranges. Fundamental analysis plays a role, however markets often do not react to real-world factors in a logical fashion. Therefore, fundamental analysis is more appropriate for long-term investing.
The fundamental derivatives of a chart are time (x-axis) and price (y-axis). The primary technical indicator is price, as everything else is lagging in the past. Price represents current asking price and incorrectly implementing positions based on price is one of the biggest trading errors.
Markets ordinarily have noise, their tendency to back-and-fill, which must be filtered out for true pattern recognition. That noise does have a utility, however, in allowing traders second chances to enter favorable positions at slightly less favorable entry points. When you have any market with enough liquidity for historical data to record a pattern, then a structure can be divined. The market probes prices as part of an ongoing price-discovery process. Market technicians must sometimes look outside of the technical realm and use visual inspection to ascertain the relevance of certain patterns, using a qualitative eye that recognizes the underlying quantitative nature
Markets rise slower than they correct, however they rise much more than they fall. In the same vein, instruments can only fall to having no worth, whereas they could theoretically grow infinitely and have continued to grow over time. Money in a fiat system is illusory. It is a fundamentally synthetic instrument which has no intrinsic value. Hence, the recent seemingly illogical fluctuations in the market.
According to trade theory, the unending purpose of a market is to create and break price ranges according to the laws of supply and demand. We must determine when to trade based on each market inflection point as defined in price and in time as opposed to abandoning the trend (as the contrarian trading in this sub often does). Time and Price symmetry must be used to be in accordance with the trend. When coupled with a favorable risk to reward ratio, the ability to stay in the market for most of the defined time period, and adherence to risk management rules; the trader has a solid methodology for achieving considerable gains.
We will engage in a longer term market-oriented analysis to avoid any time-focused pressure. The market is technically open 24-hours a day, so trading may be done when the individual is ready, without any pressing need to be constantly alert. Let alone, we can safely project months in advance with relatively high accuracy.
Some important terms to keep in mind:
§ Discrete – terminal points at the extremes of ranges
§ Secondary Discrete – quantified retracement or correction between two discrete
§ Longs (asset appreciation) and shorts (asset depreciation)
- Technical indicators are often considered self-fulfilling prophecies due to mass-market psychology gravitating towards certain common numbers yielded from them. That means a trader must be especially aware of these numbers as they can prognosticate market movements. Often, they are meaningless in the larger picture of things.
§ Volume – derived from the market itself, it is mostly irrelevant. The major problem with volume is that the US market open causes tremendous volume surges eradicating any intrinsic volume analysis. At major highs and lows, the market is typically anemic. Most traders are not active at terminal discretes because of levels of fear. Allows us confidence in time and price symmetry market inflection points, if we observe low volume at a foretold range of values. We can rationalize that an absolute discrete is usually only discovered and anticipated by very few traders. As the general market realizes it, a herd mentality will push the market in the direction favorable to defending it. Volume is also useful for swing trading, as chances for swing’s validity increases if an increase in volume is seen on and after the swing’s activation.
Therefore, due to the relatively high volume on the 23rd of March, we can safely determine that a low WAS NOT reached.
§ VIX – Volatility Index, this technical indicator indicates level of fear by the amount of options-based “insurance” in portfolios. A low VIX environment, less than 20 for the S&P index, indicates a stable market with a possible uptrend. A high VIX, over 20, indicates a possible downtrend. However, it is equally important to see how VIX is changing over time, if it is decreasing or increasing, as that indicates increasing or decreasing fear. Low volatility allows high leverage without risk or rest. Occasionally, markets do rise with high VIX.
As VIX is unusually high, in the forties, we can be confident that a downtrend is imminent.
– Trend definition is highly powerful, cannot be understated. Knowledge of trend logic is enough to be a profitable trader, yet defining a trend is an arduous process. Multiple trends coexist across multiple time frames and across multiple market sectors. Like time structure, it makes the underlying price of the instrument irrelevant. Trend definitions cannot determine the validity of newly formed discretes. Trend becomes apparent when trades based in counter-trend inflection points continue to fail.
Downtrends are defined as an instrument making lower lows and lower highs that are recurrent, additive, qualified swing setups. Downtrends for all instruments are similar, except forex. They are fast and complete much quicker than uptrends. An average downtrend is 18 months, something which we will return to. An uptrend inception occurs when an instrument reaches a point where it fails to make a new low, then that low will be tested. After that, the instrument will either have a deep range retracement or it may take out the low slightly, resulting in a double-bottom. A swing must eventually form.
A simple way to roughly determine trend is to attempt to draw a line from three tops going upwards (uptrend) or a line from three bottoms going downwards (downtrend). It is not possible to correctly draw an uptrend line on the SPY chart, but it is possible to correctly draw a downtrend – indicating that the overall trend is downwards.
Now that we have determined that the overall trend is downwards, the next issue is the question of when SPY will bottom out.
Time is the movement from the past through the present into the future. It is a measurement in quantified intervals. In many ways, our perception of it is a human construct. It is more powerful than price as time may be utilized for a trade regardless of the market inflection point’s price. Were it possible to perfectly understand time, price would be totally irrelevant due to the predictive certainty time affords. Time structure is easier to learn than price, but much more difficult to apply with any accuracy. It is the hardest aspect of trading to learn, but also the most rewarding.
Humans do not have the ability to recognize every time window, however the ability to define market inflection points in terms of time is the single most powerful trading edge. Regardless, price should not be abandoned for time alone. Time structure analysis It is inherently flawed, as such the markets have a fail-safe, which is Price Structure. Even though Time is much more powerful, Price Structure should never be completely ignored. Time is the qualifier for Price and vice versa. Time can fail by tricking traders into counter-trend trading.
Time is a predestined trade quantifier, a filter to slow trades down, as it allows a trader to specifically focus on specific time windows and rest at others. It allows for quantitative measurements to reach deterministic values and is the primary qualifier for trends. Time structure should be utilized before price structure, and it is the primary trade criterion which requires support from price. We can see price structure on a chart, as areas of mathematical support or resistance, but we cannot see time structure.
Time may be used to tell us an exact point in the future where the market will inflect, after Price Theory has been fulfilled. In the present, price objectives based on price theory added to possible future times for market inflection points give us the exact time of market inflection points and price.
Time Structure is repetitions of time or inherent cycles of time, occurring in a methodical way to provide time windows which may be utilized for inflection points. They are not easily recognized and not easily defined by a price chart as measuring and observing time is very exact. Time structure is not a science, yet it does require precise measurements. Nothing is certain or definite. The critical question must be if a particular approach to time structure is currently lucrative or not.
We will complete our analysis of time by measuring it in intervals of 180 bars. Our goal is to determine time windows, when the market will react and when we should pay the most attention. By using time repetitions, the fact that market inflection points occurred at some point in the past and should, therefore, reoccur at some point in the future, we should obtain confidence as to when SPY will reach a market inflection point. Time repetitions are essentially the market’s memory. However, simply measuring the time between two points then trying to extrapolate into the future does not work. Measuring time is not the same as defining time repetitions. We will evaluate past sessions for market inflection points, whether discretes, qualified swings, or intra-range. Then records the times that the market has made highs or lows in a comparable time period to the future one seeks to trade in.
What follows is a time Histogram – A grouping of times which appear close together, then segregated based on that closeness. Time is aligned into combined histogram of repetitions and cycles, however cycles are irrelevant on a daily basis. If trading on an hourly basis, do not use hours.
Yearly Lows: 12/31/2000, 9/21/2001, 10/9/2002, 3/11/2003, 8/2/2004, 4/15/2005, 6/12/2006, 3/5/2007, 11/17/2008, 3/9/2009, 7/2/10, 10/3/11, 1/1/12, 1/1/13, 2/3/14, 9/28/15, 2/8/16, 1/3/17, 12/24/18, 6/3/19
Months: 1, 1, 1, 2, 2, 3, 3, 3, 4, 6, 6, 7, 8, 9, 9, 10, 10, 11, 12, 12
Days: 1, 1, 2, 2, 3, 3, 3, 3, 5, 8, 9, 9, 11, 12, 15, 17, 21, 24, 28, 31
Monthly Lows: 3/23, 2/28, 1/27, 12/3, 11/1, 10/2, 9/3, 8/5, 7/1, 6/3, 5/31, 4/1
Days: 1, 1, 1, 2, 3, 3, 3, 5, 23, 27, 27, 31
Weighted Times are repetitions which appears multiple times within the same list, observed and accentuated once divided into relevant sections of the histogram. They are important in the presently defined trading time period and are similar to a mathematical mode with respect to a series. Phased times are essentially periodical patterns in histograms, though they do not guarantee inflection points*.*
We see that SPY tends to have its lows between three major month clusters: 1-4, primarily March (which has actually occurred already this year), 6-9, averaged out to July, and 10-12, averaged out to November. Following the same methodology, we get the third and tenth days of the month as the likeliest days. However, evaluating the monthly lows for the past year, the end of the month has replaced the average of the tenth. Therefore, we have four primary dates for our histogram.
7/3/20, 7/27/20, and 11/3/20, 11/27/20 .
How do we narrow this group down with any accuracy? Let us average the days together to work with two dates - 7/15/20 and 11/15/20.
The 8.6-Year Armstrong-Princeton Global Economic Confidence model – states that 2.15 year intervals occur between corrections, relevant highs and lows. 2.15 years from the all-time peak discrete is April 14th of 2022. However, we can time-shift to other peaks and troughs to determine a date for this year. If we consider 1/28/2018 as a localized high and apply this model, we get 3/23/20 as a low - strikingly accurate. I have chosen the next localized high, 9/21/2018 to apply the model to. We achieve a date of 11/14/2020.
The average bear market is eighteen months long, giving us a date of August 19th, 2021 for the end of the bear market - roughly speaking.
Therefore, our timeline looks like:
As we move forward in time, our predictions may be less accurate. It is important to keep in mind that this analysis will likely change and become more accurate as we factor in Terry Laundry’s T-Theory, the Bradley Cycle, a more sophisticated analysis of Bull and Bear Market Cycles, the Fundamental Investor Cyclic Approach, and Seasons and Half-Seasons.
I have also assumed that the audience believes in these models, which is not necessary. Anyone with free time may construct histograms and view these time models, determining for themselves what is accurate and what is not. Take a look at 1/28/2008, that localized high, and 2.15 years (1/4th of the sinusoidal wave of the model) later.
The question now is, what prices will SPY reach on 11/14? Where will we be at 7/28? What will happen on 4/14/22?
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Where is Bitcoin Going and When?

Where is Bitcoin Going and When?

The Federal Reserve and the United States government are pumping extreme amounts of money into the economy, already totaling over $484 billion. They are doing so because it already had a goal to inflate the United States Dollar (USD) so that the market can continue to all-time highs. It has always had this goal. They do not care how much inflation goes up by now as we are going into a depression with the potential to totally crash the US economy forever. They believe the only way to save the market from going to zero or negative values is to inflate it so much that it cannot possibly crash that low. Even if the market does not dip that low, inflation serves the interest of powerful people.
The impending crash of the stock market has ramifications for Bitcoin, as, though there is no direct ongoing-correlation between the two, major movements in traditional markets will necessarily affect Bitcoin. According to the Blockchain Center’s Cryptocurrency Correlation Tool, Bitcoin is not correlated with the stock market. However, when major market movements occur, they send ripples throughout the financial ecosystem which necessary affect even ordinarily uncorrelated assets.
Therefore, Bitcoin will reach X price on X date after crashing to a price of X by X date.

Stock Market Crash

The Federal Reserve has caused some serious consternation with their release of ridiculous amounts of money in an attempt to buoy the economy. At face value, it does not seem to have any rationale or logic behind it other than keeping the economy afloat long enough for individuals to profit financially and politically. However, there is an underlying basis to what is going on which is important to understand in order to profit financially.
All markets are functionally price probing systems. They constantly undergo a price-discovery process. In a fiat system, money is an illusory and a fundamentally synthetic instrument with no intrinsic value – similar to Bitcoin. The primary difference between Bitcoin is the underlying technology which provides a slew of benefits that fiat does not. Fiat, however, has an advantage in being able to have the support of powerful nation-states which can use their might to insure the currency’s prosperity.
Traditional stock markets are composed of indices (pl. of index). Indices are non-trading market instruments which are essentially summaries of business values which comprise them. They are continuously recalculated throughout a trading day, and sometimes reflected through tradable instruments such as Exchange Traded Funds or Futures. Indices are weighted by market capitalizations of various businesses.
Price theory essentially states that when a market fails to take out a new low in a given range, it will have an objective to take out the high. When a market fails to take out a new high, it has an objective to make a new low. This is why price-time charts go up and down, as it does this on a second-by-second, minute-by-minute, day-by-day, and even century-by-century basis. Therefore, market indices will always return to some type of bull market as, once a true low is formed, the market will have a price objective to take out a new high outside of its’ given range – which is an all-time high. Instruments can only functionally fall to zero, whereas they can grow infinitely.
So, why inflate the economy so much?
Deflation is disastrous for central banks and markets as it raises the possibility of producing an overall price objective of zero or negative values. Therefore, under a fractional reserve system with a fiat currency managed by a central bank – the goal of the central bank is to depreciate the currency. The dollar is manipulated constantly with the intention of depreciating its’ value.
Central banks have a goal of continued inflated fiat values. They tend to ordinarily contain it at less than ten percent (10%) per annum in order for the psyche of the general populace to slowly adjust price increases. As such, the markets are divorced from any other logic. Economic policy is the maintenance of human egos, not catering to fundamental analysis. Gross Domestic Product (GDP) growth is well-known not to be a measure of actual growth or output. It is a measure of increase in dollars processed. Banks seek to produce raising numbers which make society feel like it is growing economically, making people optimistic. To do so, the currency is inflated, though inflation itself does not actually increase growth. When society is optimistic, it spends and engages in business – resulting in actual growth. It also encourages people to take on credit and debts, creating more fictional fiat.
Inflation is necessary for markets to continue to reach new heights, generating positive emotional responses from the populace, encouraging spending, encouraging debt intake, further inflating the currency, and increasing the sale of government bonds. The fiat system only survives by generating more imaginary money on a regular basis.
Bitcoin investors may profit from this by realizing that stock investors as a whole always stand to profit from the market so long as it is managed by a central bank and does not collapse entirely. If those elements are filled, it has an unending price objective to raise to new heights. It also allows us to realize that this response indicates that the higher-ups believe that the economy could crash in entirety, and it may be wise for investors to have multiple well-thought-out exit strategies.

Economic Analysis of Bitcoin

The reason why the Fed is so aggressively inflating the economy is due to fears that it will collapse forever or never rebound. As such, coupled with a global depression, a huge demand will appear for a reserve currency which is fundamentally different than the previous system. Bitcoin, though a currency or asset, is also a market. It also undergoes a constant price-probing process. Unlike traditional markets, Bitcoin has the exact opposite goal. Bitcoin seeks to appreciate in value and not depreciate. This has a quite different affect in that Bitcoin could potentially become worthless and have a price objective of zero.
Bitcoin was created in 2008 by a now famous mysterious figure known as Satoshi Nakamoto and its’ open source code was released in 2009. It was the first decentralized cryptocurrency to utilize a novel protocol known as the blockchain. Up to one megabyte of data may be sent with each transaction. It is decentralized, anonymous, transparent, easy to set-up, and provides myriad other benefits. Bitcoin is not backed up by anything other than its’ own technology.
Bitcoin is can never be expected to collapse as a framework, even were it to become worthless. The stock market has the potential to collapse in entirety, whereas, as long as the internet exists, Bitcoin will be a functional system with a self-authenticating framework. That capacity to persist regardless of the actual price of Bitcoin and the deflationary nature of Bitcoin means that it has something which fiat does not – inherent value.
Bitcoin is based on a distributed database known as the “blockchain.” Blockchains are essentially decentralized virtual ledger books, replete with pages known as “blocks.” Each page in a ledger is composed of paragraph entries, which are the actual transactions in the block.
Blockchains store information in the form of numerical transactions, which are just numbers. We can consider these numbers digital assets, such as Bitcoin. The data in a blockchain is immutable and recorded only by consensus-based algorithms. Bitcoin is cryptographic and all transactions are direct, without intermediary, peer-to-peer.
Bitcoin does not require trust in a central bank. It requires trust on the technology behind it, which is open-source and may be evaluated by anyone at any time. Furthermore, it is impossible to manipulate as doing so would require all of the nodes in the network to be hacked at once – unlike the stock market which is manipulated by the government and “Market Makers”. Bitcoin is also private in that, though the ledge is openly distributed, it is encrypted. Bitcoin’s blockchain has one of the greatest redundancy and information disaster recovery systems ever developed.
Bitcoin has a distributed governance model in that it is controlled by its’ users. There is no need to trust a payment processor or bank, or even to pay fees to such entities. There are also no third-party fees for transaction processing. As the ledge is immutable and transparent it is never possible to change it – the data on the blockchain is permanent. The system is not easily susceptible to attacks as it is widely distributed. Furthermore, as users of Bitcoin have their private keys assigned to their transactions, they are virtually impossible to fake. No lengthy verification, reconciliation, nor clearing process exists with Bitcoin.
Bitcoin is based on a proof-of-work algorithm. Every transaction on the network has an associated mathetical “puzzle”. Computers known as miners compete to solve the complex cryptographic hash algorithm that comprises that puzzle. The solution is proof that the miner engaged in sufficient work. The puzzle is known as a nonce, a number used only once. There is only one major nonce at a time and it issues 12.5 Bitcoin. Once it is solved, the fact that the nonce has been solved is made public.
A block is mined on average of once every ten minutes. However, the blockchain checks every 2,016,000 minutes (approximately four years) if 201,600 blocks were mined. If it was faster, it increases difficulty by half, thereby deflating Bitcoin. If it was slower, it decreases, thereby inflating Bitcoin. It will continue to do this until zero Bitcoin are issued, projected at the year 2140. On the twelfth of May, 2020, the blockchain will halve the amount of Bitcoin issued when each nonce is guessed. When Bitcoin was first created, fifty were issued per block as a reward to miners. 6.25 BTC will be issued from that point on once each nonce is solved.
Unlike fiat, Bitcoin is a deflationary currency. As BTC becomes scarcer, demand for it will increase, also raising the price. In this, BTC is similar to gold. It is predictable in its’ output, unlike the USD, as it is based on a programmed supply. We can predict BTC’s deflation and inflation almost exactly, if not exactly. Only 21 million BTC will ever be produced, unless the entire network concedes to change the protocol – which is highly unlikely.
Some of the drawbacks to BTC include congestion. At peak congestion, it may take an entire day to process a Bitcoin transaction as only three to five transactions may be processed per second. Receiving priority on a payment may cost up to the equivalent of twenty dollars ($20). Bitcoin mining consumes enough energy in one day to power a single-family home for an entire week.

Trading or Investing?

The fundamental divide in trading revolves around the question of market structure. Many feel that the market operates totally randomly and its’ behavior cannot be predicted. For the purposes of this article, we will assume that the market has a structure, but that that structure is not perfect. That market structure naturally generates chart patterns as the market records prices in time. In order to determine when the stock market will crash, causing a major decline in BTC price, we will analyze an instrument, an exchange traded fund, which represents an index, as opposed to a particular stock. The price patterns of the various stocks in an index are effectively smoothed out. In doing so, a more technical picture arises. Perhaps the most popular of these is the SPDR S&P Standard and Poor 500 Exchange Traded Fund ($SPY).
In trading, little to no concern is given about value of underlying asset. We are concerned primarily about liquidity and trading ranges, which are the amount of value fluctuating on a short-term basis, as measured by volatility-implied trading ranges. Fundamental analysis plays a role, however markets often do not react to real-world factors in a logical fashion. Therefore, fundamental analysis is more appropriate for long-term investing.
The fundamental derivatives of a chart are time (x-axis) and price (y-axis). The primary technical indicator is price, as everything else is lagging in the past. Price represents current asking price and incorrectly implementing positions based on price is one of the biggest trading errors.
Markets and currencies ordinarily have noise, their tendency to back-and-fill, which must be filtered out for true pattern recognition. That noise does have a utility, however, in allowing traders second chances to enter favorable positions at slightly less favorable entry points. When you have any market with enough liquidity for historical data to record a pattern, then a structure can be divined. The market probes prices as part of an ongoing price-discovery process. Market technicians must sometimes look outside of the technical realm and use visual inspection to ascertain the relevance of certain patterns, using a qualitative eye that recognizes the underlying quantitative nature
Markets and instruments rise slower than they correct, however they rise much more than they fall. In the same vein, instruments can only fall to having no worth, whereas they could theoretically grow infinitely and have continued to grow over time. Money in a fiat system is illusory. It is a fundamentally synthetic instrument which has no intrinsic value. Hence, the recent seemingly illogical fluctuations in the market.
According to trade theory, the unending purpose of a market or instrument is to create and break price ranges according to the laws of supply and demand. We must determine when to trade based on each market inflection point as defined in price and in time as opposed to abandoning the trend (as the contrarian trading in this sub often does). Time and Price symmetry must be used to be in accordance with the trend. When coupled with a favorable risk to reward ratio, the ability to stay in the market for most of the defined time period, and adherence to risk management rules; the trader has a solid methodology for achieving considerable gains.
We will engage in a longer term market-oriented analysis to avoid any time-focused pressure. The Bitcoin market is open twenty-four-hours a day, so trading may be done when the individual is ready, without any pressing need to be constantly alert. Let alone, we can safely project months in advance with relatively high accuracy. Bitcoin is an asset which an individual can both trade and invest, however this article will be focused on trading due to the wide volatility in BTC prices over the short-term.

Technical Indicator Analysis of Bitcoin

Technical indicators are often considered self-fulfilling prophecies due to mass-market psychology gravitating towards certain common numbers yielded from them. They are also often discounted when it comes to BTC. That means a trader must be especially aware of these numbers as they can prognosticate market movements. Often, they are meaningless in the larger picture of things.
  • Volume – derived from the market itself, it is mostly irrelevant. The major problem with volume for stocks is that the US market open causes tremendous volume surges eradicating any intrinsic volume analysis. This does not occur with BTC, as it is open twenty-four-seven. At major highs and lows, the market is typically anemic. Most traders are not active at terminal discretes (peaks and troughs) because of levels of fear. Volume allows us confidence in time and price symmetry market inflection points, if we observe low volume at a foretold range of values. We can rationalize that an absolute discrete is usually only discovered and anticipated by very few traders. As the general market realizes it, a herd mentality will push the market in the direction favorable to defending it. Volume is also useful for swing trading, as chances for swing’s validity increases if an increase in volume is seen on and after the swing’s activation. Volume is steadily decreasing. Lows and highs are reached when volume is lower.
Therefore, due to the relatively high volume on the 12th of March, we can safely determine that a low for BTC was not reached.
  • VIX – Volatility Index, this technical indicator indicates level of fear by the amount of options-based “insurance” in portfolios. A low VIX environment, less than 20 for the S&P index, indicates a stable market with a possible uptrend. A high VIX, over 20, indicates a possible downtrend. VIX is essentially useless for BTC as BTC-based options do not exist. It allows us to predict the market low for $SPY, which will have an indirect impact on BTC in the short term, likely leading to the yearly low. However, it is equally important to see how VIX is changing over time, if it is decreasing or increasing, as that indicates increasing or decreasing fear. Low volatility allows high leverage without risk or rest. Occasionally, markets do rise with high VIX.
As VIX is unusually high, in the forties, we can be confident that a downtrend for the S&P 500 is imminent.
  • RSI (Relative Strength Index): The most important technical indicator, useful for determining highs and lows when time symmetry is not availing itself. Sometimes analysis of RSI can conflict in different time frames, easiest way to use it is when it is at extremes – either under 30 or over 70. Extremes can be used for filtering highs or lows based on time-and-price window calculations. Highly instructive as to major corrective clues and indicative of continued directional movement. Must determine if longer-term RSI values find support at same values as before. It is currently at 73.56.
  • Secondly, RSI may be used as a high or low filter, to observe the level that short-term RSI reaches in counter-trend corrections. Repetitions based on market movements based on RSI determine how long a trade should be held onto. Once a short term RSI reaches an extreme and stay there, the other RSI’s should gradually reach the same extremes. Once all RSI’s are at extreme highs, a trend confirmation should occur and RSI’s should drop to their midpoint.

Trend Definition Analysis of Bitcoin

Trend definition is highly powerful, cannot be understated. Knowledge of trend logic is enough to be a profitable trader, yet defining a trend is an arduous process. Multiple trends coexist across multiple time frames and across multiple market sectors. Like time structure, it makes the underlying price of the instrument irrelevant. Trend definitions cannot determine the validity of newly formed discretes. Trend becomes apparent when trades based in counter-trend inflection points continue to fail.
Downtrends are defined as an instrument making lower lows and lower highs that are recurrent, additive, qualified swing setups. Downtrends for all instruments are similar, except forex. They are fast and complete much quicker than uptrends. An average downtrend is 18 months, something which we will return to. An uptrend inception occurs when an instrument reaches a point where it fails to make a new low, then that low will be tested. After that, the instrument will either have a deep range retracement or it may take out the low slightly, resulting in a double-bottom. A swing must eventually form.
A simple way to roughly determine trend is to attempt to draw a line from three tops going upwards (uptrend) or a line from three bottoms going downwards (downtrend). It is not possible to correctly draw a downtrend line on the BTC chart, but it is possible to correctly draw an uptrend – indicating that the overall trend is downwards. The only mitigating factor is the impending stock market crash.

Time Symmetry Analysis of Bitcoin

Time is the movement from the past through the present into the future. It is a measurement in quantified intervals. In many ways, our perception of it is a human construct. It is more powerful than price as time may be utilized for a trade regardless of the market inflection point’s price. Were it possible to perfectly understand time, price would be totally irrelevant due to the predictive certainty time affords. Time structure is easier to learn than price, but much more difficult to apply with any accuracy. It is the hardest aspect of trading to learn, but also the most rewarding.
Humans do not have the ability to recognize every time window, however the ability to define market inflection points in terms of time is the single most powerful trading edge. Regardless, price should not be abandoned for time alone. Time structure analysis It is inherently flawed, as such the markets have a fail-safe, which is Price Structure. Even though Time is much more powerful, Price Structure should never be completely ignored. Time is the qualifier for Price and vice versa. Time can fail by tricking traders into counter-trend trading.
Time is a predestined trade quantifier, a filter to slow trades down, as it allows a trader to specifically focus on specific time windows and rest at others. It allows for quantitative measurements to reach deterministic values and is the primary qualifier for trends. Time structure should be utilized before price structure, and it is the primary trade criterion which requires support from price. We can see price structure on a chart, as areas of mathematical support or resistance, but we cannot see time structure.
Time may be used to tell us an exact point in the future where the market will inflect, after Price Theory has been fulfilled. In the present, price objectives based on price theory added to possible future times for market inflection points give us the exact time of market inflection points and price.
Time Structure is repetitions of time or inherent cycles of time, occurring in a methodical way to provide time windows which may be utilized for inflection points. They are not easily recognized and not easily defined by a price chart as measuring and observing time is very exact. Time structure is not a science, yet it does require precise measurements. Nothing is certain or definite. The critical question must be if a particular approach to time structure is currently lucrative or not.
We will measure it in intervals of 180 bars. Our goal is to determine time windows, when the market will react and when we should pay the most attention. By using time repetitions, the fact that market inflection points occurred at some point in the past and should, therefore, reoccur at some point in the future, we should obtain confidence as to when SPY will reach a market inflection point. Time repetitions are essentially the market’s memory. However, simply measuring the time between two points then trying to extrapolate into the future does not work. Measuring time is not the same as defining time repetitions. We will evaluate past sessions for market inflection points, whether discretes, qualified swings, or intra-range. Then records the times that the market has made highs or lows in a comparable time period to the future one seeks to trade in.
What follows is a time Histogram – A grouping of times which appear close together, then segregated based on that closeness. Time is aligned into combined histogram of repetitions and cycles, however cycles are irrelevant on a daily basis. If trading on an hourly basis, do not use hours.
  • Yearly Lows (last seven years): 1/1/13, 4/10/14, 1/15/15, 1/17/16, 1/1/17, 12/15/18, 2/6/19
  • Monthly Mode: 1, 1, 1, 1, 2, 4, 12
  • Daily Mode: 1, 1, 6, 10, 15, 15, 17
  • Monthly Lows (for the last year): 3/12/20 (10:00pm), 2/28/20 (7:09am), 1/2/20 (8:09pm), 12/18/19 (8:00am), 11/25/19 (1:00am), 10/24/19 (2:59am), 9/30/19 (2:59am), 8/29,19 (4:00am), 7/17/19 (7:59am), 6/4/19 (5:59pm), 5/1/19 (12:00am), 4/1/19 (12:00am)
  • Daily Lows Mode for those Months: 1, 1, 2, 4, 12, 17, 18, 24, 25, 28, 29, 30
  • Hourly Lows Mode for those Months (Military time): 0100, 0200, 0200, 0400, 0700, 0700, 0800, 1200, 1200, 1700, 2000, 2200
  • Minute Lows Mode for those Months: 00, 00, 00, 00, 00, 00, 09, 09, 59, 59, 59, 59
  • Day of the Week Lows (last twenty-six weeks):
Weighted Times are repetitions which appears multiple times within the same list, observed and accentuated once divided into relevant sections of the histogram. They are important in the presently defined trading time period and are similar to a mathematical mode with respect to a series. Phased times are essentially periodical patterns in histograms, though they do not guarantee inflection points
Evaluating the yearly lows, we see that BTC tends to have its lows primarily at the beginning of every year, with a possibility of it being at the end of the year. Following the same methodology, we get the middle of the month as the likeliest day. However, evaluating the monthly lows for the past year, the beginning and end of the month are more likely for lows.
Therefore, we have two primary dates from our histogram.
1/1/21, 1/15/21, and 1/29/21
2:00am, 8:00am, 12:00pm, or 10:00pm
In fact, the high for this year was February the 14th, only thirty days off from our histogram calculations.
The 8.6-Year Armstrong-Princeton Global Economic Confidence model states that 2.15 year intervals occur between corrections, relevant highs and lows. 2.15 years from the all-time peak discrete is February 9, 2020 – a reasonably accurate depiction of the low for this year (which was on 3/12/20). (Taking only the Armstrong model into account, the next high should be Saturday, April 23, 2022). Therefore, the Armstrong model indicates that we have actually bottomed out for the year!
Bear markets cannot exist in perpetuity whereas bull markets can. Bear markets will eventually have price objectives of zero, whereas bull markets can increase to infinity. It can occur for individual market instruments, but not markets as a whole. Since bull markets are defined by low volatility, they also last longer. Once a bull market is indicated, the trader can remain in a long position until a new high is reached, then switch to shorts. The average bear market is eighteen months long, giving us a date of August 19th, 2021 for the end of this bear market – roughly speaking. They cannot be shorter than fifteen months for a central-bank controlled market, which does not apply to Bitcoin. (Otherwise, it would continue until Sunday, September 12, 2021.) However, we should expect Bitcoin to experience its’ exponential growth after the stock market re-enters a bull market.
Terry Laundy’s T-Theory implemented by measuring the time of an indicator from peak to trough, then using that to define a future time window. It is similar to an head-and-shoulders pattern in that it is the process of forming the right side from a synthetic technical indicator. If the indicator is making continued lows, then time is recalculated for defining the right side of the T. The date of the market inflection point may be a price or indicator inflection date, so it is not always exactly useful. It is better to make us aware of possible market inflection points, clustered with other data. It gives us an RSI low of May, 9th 2020.
The Bradley Cycle is coupled with volatility allows start dates for campaigns or put options as insurance in portfolios for stocks. However, it is also useful for predicting market moves instead of terminal dates for discretes. Using dates which correspond to discretes, we can see how those dates correspond with changes in VIX.
Therefore, our timeline looks like:
  • 2/14/20 – yearly high ($10372 USD)
  • 3/12/20 – yearly low thus far ($3858 USD)
  • 5/9/20 – T-Theory true yearly low (BTC between 4863 and 3569)
  • 5/26/20 – hashrate difficulty halvening
  • 11/14/20 – stock market low
  • 1/15/21 – yearly low for BTC, around $8528
  • 8/19/21 – end of stock bear market
  • 11/26/21 – eighteen months from halvening, average peak from halvenings (BTC begins rising from $3000 area to above $23,312)
  • 4/23/22 – all-time high
Taken from my blog: http://aliamin.info/2020/
submitted by aibnsamin1 to Bitcoin [link] [comments]

Trading View (Request)

App Name: TradingView - stock charts, Forex & Bitcoin ticker
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You can effectively track stock market and major global indices such as the NASDAQ Composite, S&P 500 (SPX), NYSE, Dow Jones (DJI), DAX, FTSE 100, NIKKEI 225, etc. You can also learn more about exchange rates, oil prices, mutual funds, bonds, ETFs and other commodities.
TradingView is the most active social network for traders and investors. Connect with millions of traders from around the world, learn from the experiences of other investors and discuss trading ideas.
Advanced Charts TradingView has excellent charts that surpass even desktop trading platforms in quality — all for free. No compromises. All of the features, settings and tools of our charts will also be available in our app version. Over 10 types of charts for market analysis from different angles. Starting with an elementary chart line and ending with Renko and Kagi charts, which focus heavily on price fluctuations and barely take time into account as a factor. They can be very useful for determining long-term trends and can help you earn money.
Choose from a large selection of price analysis tools, including, but not limited to, indicators, strategies, drawing objects (i.e. Gann, Elliot Wave, moving averages) and more.
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Playstore Link: https://play.google.com/store/apps/details?id=com.tradingview.tradingviewapp
Mod Features: Additional indicators available in pro version of this app
submitted by shinigamidoge to moddedandroidapps [link] [comments]

How to get started in Forex - A comprehensive guide for newbies

Almost every day people come to this subreddit asking the same basic questions over and over again. I've put this guide together to point you in the right direction and help you get started on your forex journey.

A quick background on me before you ask: My name is Bob, I'm based out of western Canada. I started my forex journey back in January 2018 and am still learning. However I am trading live, not on demo accounts. I also code my own EA's. I not certified, licensed, insured, or even remotely qualified as a professional in the finance industry. Nothing I say constitutes financial advice. Take what I'm saying with a grain of salt, but everything I've outlined below is a synopsis of some tough lessons I've learned over the last year of being in this business.

LET'S GET SOME UNPLEASANTNESS OUT OF THE WAY

I'm going to call you stupid. I'm also going to call you dumb. I'm going to call you many other things. I do this because odds are, you are stupid, foolish,and just asking to have your money taken away. Welcome to the 95% of retail traders. Perhaps uneducated or uninformed are better phrases, but I've never been a big proponent of being politically correct.

Want to get out of the 95% and join the 5% of us who actually make money doing this? Put your grown up pants on, buck up, and don't give me any of this pc "This is hurting my feelings so I'm not going to listen to you" bullshit that the world has been moving towards.

Let's rip the bandage off quickly on this point - the world does not give a fuck about you. At one point maybe it did, it was this amazing vision nicknamed the American Dream. It died an agonizing, horrible death at the hand of capitalists and entrepreneurs. The world today revolves around money. Your money, my money, everybody's money. People want to take your money to add it to theirs. They don't give a fuck if it forces you out on the street and your family has to live in cardboard box. The world just stopped caring in general. It sucks, but it's the way the world works now. Welcome to the new world order. It's called Capitalism.

And here comes the next hard truth that you will need to accept - Forex is a cruel bitch of a mistress. She will hurt you. She will torment you. She will give you nightmares. She will keep you awake at night. And then she will tease you with a glimmer of hope to lure you into a false sense of security before she then guts you like a fish and shows you what your insides look like. This statement applies to all trading markets - they are cruel, ruthless, and not for the weak minded.

The sooner you accept these truths, the sooner you will become profitable. Don't accept it? That's fine. Don't bother reading any further. If I've offended you I don't give a fuck. You can run back home and hide under your bed. The world doesn't care and neither do I.

For what it's worth - I am not normally an major condescending asshole like the above paragraphs would suggest. In fact, if you look through my posts on this subreddit you will see I am actually quite helpful most of the time to many people who come here. But I need you to really understand that Forex is not for most people. It will make you cry. And if the markets themselves don't do it, the people in the markets will.

LESSON 1 - LEARN THE BASICS

Save yourself and everybody here a bunch of time - learn the basics of forex. You can learn the basics for free - BabyPips has one of the best free courses online which explains what exactly forex is, how it works, different strategies and methods of how to approach trading, and many other amazing topics.

You can access the BabyPips course by clicking this link: https://www.babypips.com/learn/forex

Do EVERY course in the School of Pipsology. It's free, it's comprehensive, and it will save you from a lot of trouble. It also has the added benefit of preventing you from looking foolish and uneducated when you come here asking for help if you already know this stuff.

If you still have questions about how forex works, please see the FREE RESOURCES links on the /Forex FAQ which can be found here: https://www.reddit.com/Forex/wiki/index

Quiz Time
Answer these questions truthfully to yourself:

-What is the difference between a market order, a stop order, and a limit order?
-How do you draw a support/resistance line? (Demonstrate it to yourself)
-What is the difference between MACD, RSI, and Stochastic indicators?
-What is fundamental analysis and how does it differ from technical analysis and price action trading?
-True or False: It's better to have a broker who gives you 500:1 margin instead of 50:1 margin. Be able to justify your reasoning.

If you don't know to answer to any of these questions, then you aren't ready to move on. Go back to the School of Pipsology linked above and do it all again.

If you can answer these questions without having to refer to any kind of reference then congratulations, you are ready to move past being a forex newbie and are ready to dive into the wonderful world of currency trading! Move onto Lesson 2 below.

LESSON 2 - RANDOM STRANGERS ARE NOT GOING TO HELP YOU GET RICH IN FOREX

This may come as a bit of a shock to you, but that random stranger on instagram who is posting about how he is killing it on forex is not trying to insprire you to greatness. He's also not trying to help you. He's also not trying to teach you how to attain financial freedom.

99.99999% of people posting about wanting to help you become rich in forex are LYING TO YOU.

Why would such nice, polite people do such a thing? Because THEY ARE TRYING TO PROFIT FROM YOUR STUPIDITY.

Plain and simple. Here's just a few ways these "experts" and "gurus" profit from you:


These are just a few examples. The reality is that very few people make it big in forex or any kind of trading. If somebody is trying to sell you the dream, they are essentially a magician - making you look the other way while they snatch your wallet and clean you out.

Additionally, on the topic of fund managers - legitimate fund managers will be certified, licensed, and insured. Ask them for proof of those 3 things. What they typically look like are:

If you are talking to a fund manager and they are insisting they have all of these, get a copy of their verification documents and lookup their licenses on the directories of the issuers to verify they are valid. If they are, then at least you are talking to somebody who seems to have their shit together and is doing investment management and trading as a professional and you are at least partially protected when the shit hits the fan.


LESSON 3 - UNDERSTAND YOUR RISK

Many people jump into Forex, drop $2000 into a broker account and start trading 1 lot orders because they signed up with a broker thinking they will get rich because they were given 500:1 margin and can risk it all on each trade. Worst-case scenario you lose your account, best case scenario you become a millionaire very quickly. Seems like a pretty good gamble right? You are dead wrong.

As a new trader, you should never risk more than 1% of your account balance on a trade. If you have some experience and are confident and doing well, then it's perfectly natural to risk 2-3% of your account per trade. Anybody who risks more than 4-5% of their account on a single trade deserves to blow their account. At that point you aren't trading, you are gambling. Don't pretend you are a trader when really you are just putting everything on red and hoping the roulette ball lands in the right spot. It's stupid and reckless and going to screw you very quickly.

Let's do some math here:

You put $2,000 into your trading account.
Risking 1% means you are willing to lose $20 per trade. That means you are going to be trading micro lots, or 0.01 lots most likely ($0.10/pip). At that level you can have a trade stop loss at -200 pips and only lose $20. It's the best starting point for anybody. Additionally, if you SL 20 trades in a row you are only down $200 (or 10% of your account) which isn't that difficult to recover from.
Risking 3% means you are willing to lose $60 per trade. You could do mini lots at this point, which is 0.1 lots (or $1/pip). Let's say you SL on 20 trades in a row. You've just lost $1,200 or 60% of your account. Even veteran traders will go through periods of repeat SL'ing, you are not a special snowflake and are not immune to periods of major drawdown.
Risking 5% means you are willing to lose $100 per trade. SL 20 trades in a row, your account is blown. As Red Foreman would call it - Good job dumbass.

Never risk more than 1% of your account on any trade until you can show that you are either consistently breaking even or making a profit. By consistently, I mean 200 trades minimum. You do 200 trades over a period of time and either break-even or make a profit, then you should be alright to increase your risk.

Unfortunately, this is where many retail traders get greedy and blow it. They will do 10 trades and hit their profit target on 9 of them. They will start seeing huge piles of money in their future and get greedy. They will start taking more risk on their trades than their account can handle.

200 trades of break-even or profitable performance risking 1% per trade. Don't even think about increasing your risk tolerance until you do it. When you get to this point, increase you risk to 2%. Do 1,000 trades at this level and show break-even or profit. If you blow your account, go back down to 1% until you can figure out what the hell you did differently or wrong, fix your strategy, and try again.

Once you clear 1,000 trades at 2%, it's really up to you if you want to increase your risk. I don't recommend it. Even 2% is bordering on gambling to be honest.


LESSON 4 - THE 500 PIP DRAWDOWN RULE

This is a rule I created for myself and it's a great way to help protect your account from blowing.

Sometimes the market goes insane. Like really insane. Insane to the point that your broker can't keep up and they can't hold your orders to the SL and TP levels you specified. They will try, but during a flash crash like we had at the start of January 2019 the rules can sometimes go flying out the window on account of the trading servers being unable to keep up with all the shit that's hitting the fan.

Because of this I live by a rule I call the 500 Pip Drawdown Rule and it's really quite simple - Have enough funds in your account to cover a 500 pip drawdown on your largest open trade. I don't care if you set a SL of -50 pips. During a flash crash that shit sometimes just breaks.

So let's use an example - you open a 0.1 lot short order on USDCAD and set the SL to 50 pips (so you'd only lose $50 if you hit stoploss). An hour later Trump makes some absurd announcement which causes a massive fundamental event on the market. A flash crash happens and over the course of the next few minutes USDCAD spikes up 500 pips, your broker is struggling to keep shit under control and your order slips through the cracks. By the time your broker is able to clear the backlog of orders and activity, your order closes out at 500 pips in the red. You just lost $500 when you intended initially to only risk $50.

It gets kinda scary if you are dealing with whole lot orders. A single order with a 500 pip drawdown is $5,000 gone in an instant. That will decimate many trader accounts.

Remember my statements above about Forex being a cruel bitch of a mistress? I wasn't kidding.

Granted - the above scenario is very rare to actually happen. But glitches to happen from time to time. Broker servers go offline. Weird shit happens which sets off a fundamental shift. Lots of stuff can break your account very quickly if you aren't using proper risk management.


LESSON 5 - UNDERSTAND DIFFERENT TRADING METHODOLOGIES

Generally speaking, there are 3 trading methodologies that traders employ. It's important to figure out what method you intend to use before asking for help. Each has their pros and cons, and you can combine them in a somewhat hybrid methodology but that introduces challenges as well.

In a nutshell:

Now you may be thinking that you want to be a a price action trader - you should still learn the principles and concepts behind TA and FA. Same if you are planning to be a technical trader - you should learn about price action and fundamental analysis. More knowledge is better, always.

With regards to technical analysis, you need to really understand what the different indicators are tell you. It's very easy to misinterpret what an indicator is telling you, which causes you to make a bad trade and lose money. It's also important to understand that every indicator can be tuned to your personal preferences.

You might find, for example, that using Bollinger Bands with the normal 20 period SMA close, 2 standard deviation is not effective for how you look at the chart, but changing that to say a 20 period EMA average price, 1 standard deviation bollinger band indicator could give you significantly more insight.


LESSON 6 - TIMEFRAMES MATTER

Understanding the differences in which timeframes you trade on will make or break your chosen strategy. Some strategies work really well on Daily timeframes (i.e. Ichimoku) but they fall flat on their face if you use them on 1H timeframes, for example.

There is no right or wrong answer on what timeframe is best to trade on. Generally speaking however, there are 2 things to consider:


If you are a total newbie to forex, I suggest you don't trade on anything shorter than the 1H timeframe when you are first learning. Trading on higher timeframes tends to be much more forgiving and profitable per trade. Scalping is a delicate art and requires finesse and can be very challenging when you are first starting out.


LESSON 7 - AUTOBOTS...ROLL OUT!

Yeah...I'm a geek and grew up with the Transformers franchise decades before Michael Bay came along. Deal with it.

Forex bots are called EA's (Expert Advisors). They can be wonderous and devastating at the same time. /Forex is not really the best place to get help with them. That is what /algotrading is useful for. However some of us that lurk on /Forex code EA's and will try to assist when we can.

Anybody can learn to code an EA. But just like how 95% of retail traders fail, I would estimate the same is true for forex bots. Either the strategy doesn't work, the code is buggy, or many other reasons can cause EA's to fail. Because EA's can often times run up hundreds of orders in a very quick period of time, it's critical that you test them repeatedly before letting them lose on a live trading account so they don't blow your account to pieces. You have been warned.

If you want to learn how to code an EA, I suggest you start with MQL. It's a programming language which can be directly interpretted by Meta Trader. The Meta Trader terminal client even gives you a built in IDE for coding EA's in MQL. The downside is it can be buggy and glitchy and caused many frustrating hours of work to figure out what is wrong.

If you don't want to learn MQL, you can code an EA up in just about any programming language. Python is really popular for forex bots for some reason. But that doesn't mean you couldn't do it in something like C++ or Java or hell even something more unusual like JQuery if you really wanted.

I'm not going to get into the finer details of how to code EA's, there are some amazing guides out there. Just be careful with them. They can be your best friend and at the same time also your worst enemy when it comes to forex.

One final note on EA's - don't buy them. Ever. Let me put this into perspective - I create an EA which is literally producing money for me automatically 24/5. If it really is a good EA which is profitable, there is no way in hell I'm selling it. I'm keeping it to myself to make a fortune off of. EA's that are for sale will not work, will blow your account, and the developer who coded it will tell you that's too darn bad but no refunds. Don't ever buy an EA from anybody.

LESSON 8 - BRING ON THE HATERS

You are going to find that this subreddit is frequented by trolls. Some of them will get really nasty. Some of them will threaten you. Some of them will just make you miserable. It's the price you pay for admission to the /Forex club.

If you can't handle it, then I suggest you don't post here. Find a more newbie-friendly site. It sucks, but it's reality.

We often refer to trolls on this subreddit as shitcunts. That's your word of the day. Learn it, love it. Shitcunts.


YOU MADE IT, WELCOME TO FOREX!

If you've made it through all of the above and aren't cringing or getting scared, then welcome aboard the forex train! You will fit in nicely here. Ask your questions and the non-shitcunts of our little corner of reddit will try to help you.

Assuming this post doesn't get nuked and I don't get banned for it, I'll add more lessons to this post over time. Lessons I intend to add in the future:
If there is something else you feel should be included please drop a comment and I'll add it to the above list of pending topics.

Cheers,

Bob



submitted by wafflestation to Forex [link] [comments]

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